CHAPTER I INTRODUCTION

Size: px
Start display at page:

Download "CHAPTER I INTRODUCTION"

Transcription

1 CHAPER I INRODCION. Biarai Logiy ailr Modlig Popl rqly dic qipm bhaior i rm o ag ad ag. Commo xampl ar aomobil ad aomobil ir i which modl yar ad accmlad milag ar ally boh icldd i dicio o logiy. L wll rcogizd xampl or which wo marm cal ar qi impora icld acory qipm powr graio machi ad aircra. I ac h o may o h dic rliabiliy pciali dy i maiglly dcribd i rm o wo mar. Yar o ag ad milag ar o h oly wo qaii ha migh dcrib dic logiy. W h rm ag ad hr b h rm ar gric ad may rpr qi dir mar ha draio o owrhip ad diac rald. I h xampl o a aomobil ir ag migh corrpod o accmlad milag ad ag migh b mard a rad lo. E mor complicad mar ch a crr low ad hrmal hiory may b appropria or om igrad circi. h poi i ha dic li i a rorc ha may b b rprd ad or which h compio may b b mard ig a wo or highr dimioal cor ad h qaii ha compri h cor ar pciic o h qipm. Som rliabiliy modl ha rpod o h d o icld boh ag ad ha b dlopd. Howr arly all o h modl ha ha b dlopd ar did i a mar ha prmi hm o b rdcd o igl dimioal modl i which h idpd ariabl i im. Som o h xiig modl ar dicd rhr i Chapr. A rcrd xamiaio o biaria mar o qipm ilizaio ha

2 o b prormd o biaria modl ha o b lly dlopd ad om poially l modl orm ha o b did a all. Or i i hi rarch i o proid a ramwork or biaria dic modlig. W bgi wih h corcio o biaria ailr modl. I rlad o h craio o biaria ailr modl ha ha ad ho ha ha o b dlopd ar xamid. W proid a bri axoomy o biaria dic logiy modl orm ad di om xampl modl o illra ad xplai om o h ky i. h biaria ailr modl play a ky rol i or biaria modlig. h ky moiaig acor i h ac ha xiig biaria ailr modl ar did o ha hy ca b collapd io igl ariabl li im diribio modl dpi h ac ha biaria modl may b mor rprai or dcripi o dic logiy.. Biaria Maiac Modlig Maiac ca igiicaly ac h qaliy o prodc ar hy ha b prodcd. A maiac policy ca b iwd a a combiaio o dir maiac acio ch a ipcio rpair ad/or rplacm ad may b claiid a corrci chdld maiac or pri chdld maiac. A corrci maiac policy icld all chdld maiac acio prormd a a rl o ym ailr o ror h ym o a pciid codiio. Pri maiac icld all chdld maiac acio prormd o rai a ym i a pciid codiio. ally h co o maiac ad ppor i 60 o 75% o h oal li-cycl co o a ym. hror a pri maiac policy i o gra imporac i rdcig hi co ad lowrig h rik o a caarophic brakdow. Mo di o maiac polici corrci or pri cocra o ym wih iaria liim diribio i.. bad o iaria ailr modl.

3 Howr i may pracical iaio ym liim ad maiac polici dpd o ral acor. or xampl i i commo or aomobil o carry a maiac policy or a oil chag ry hr moh or 3000 mil or a rplacm o h camha imig bl ry 60 moh or mil. h cmlai ag o a ym or dir priod o im will ha dir c o h ym ailr bhaior. rhrmor mo ym driora o ha h ad im bw rpair bcom horr ad horr ad h rpair im icra. Som ym lik car airpla ligh blb compr or ay objc ha ca accmla d o iromal c may ag or war or im. A ym may b i a iadqa opraioal codiio ar om amo o im or ag. h ym may rqir a maiac acio o ror i back o a ormal codiio. h prpo i o pr h occrrc o a caarophic ailr drig i opraio ad o rdc h orall maiac co. Howr ry limid lirar ha addrd mlidimioal ailr modl ad hir rlad maiac polici. or modlig biaria maiac polici w ir adap ad xd Hr biaria rwal hory [974a] o acilia h corcio ad aalyi o biaria maiac modl. Som baic rl o h biaria rwal hory ar prd ad applid o h biaria maiac modl. wo yp o biaria maiac policy ar coidrd. h ar corrci maiac CM ad pri maiac PM polici. h corrpodig biaria maiac modl ar dlopd bad o h biaria dic logiy modl. Laplac raorm chiq ar d o aalyz h modl. or mo o h dlopd modl w ar o abl o ir h raorm xplicily. Nw mrical mhod ad algorihm ha may b d o approxima h biaria Laplac ir raorm ar idiid. 3

4 .3 Biaria Aailabiliy Modlig Aailabiliy ha appard o b a appropria mar o h ci o a maiaid ym. I coidr h ailr bhaior ad h c o maiac acio. I h iaria ca aailabiliy i did a h probabiliy ha h ym i cioig aiacorily a ay poi o im Li Hwag ad illma [977]. Biaria aailabiliy ca b did ad xdd dircly rom h iaria aailabiliy. ollowig biaria dic logiy ad maiac modlig w coidr h corcio o biaria dic aailabiliy modl. Bad o h wo yp o maiac polici w dlop h corrpodig biaria aailabiliy modl. h Laplac raorm or h biaria aailabiliy modl ar drid. Dirc irio o h raorm ar o obaid hr..4 Approach o Biaria Modlig h approach o biaria modlig may b orgaizd io i ky or: i Biaria ailr Modlig. Modl a igl-i ym wih biaria logiy. ii Biaria Rwal Modlig. Modl a igl-i ym wih idpd ad idically diribd i.i.d. liim ad immdia/iaao maiac ric. 4

5 iii Biaria Corrci Maiac Modlig. Modl a igl-i ym wih i.i.d. liim ad i.i.d. corrci maiac im. i Biaria Pri Maiac Modlig. Modl a igl-i ym wih i.i.d. liim ad pri maiac a wll a rpair b boh haig diic i.i.d. diribio. Biaria Aailabiliy Modlig. Modl h biaria aailabiliy mar or a igl-i ym wih maiac ric. W dcrib ach modlig ag i daild a ollow. i Biaria ailr Modlig. No ha i hi ag w oc o corcig biaria ailr modl rahr ha maiac polici. Or prpo i o impro iaria ailr modl by dlopig ad aalyzig biaria ailr modl. W di h gral rcr o biaria probabiliy modl o ym ailr. Sral biaria ailr modl ar corcd o rpr h poibl corrlaio rcr o h wo ym agig ariabl: im ad ag. h bhaior o h modl i xamid dr h ario corrlaio rcr. h dlopd modl will b d o aalyz xampl maiac problm. ii Biaria Rwal Modlig. Coidr a ym wih a biaria radom logiy i.. h logiy dpd o h opraig im ad h ag. A aild ym i immdialy ad iaaoly rplacd by a i.i.d. w o. h w am ha h maiac i prc ad h 5

6 ym opraio ca b modld a a biaria rwal proc. ig biaria rwal hory w modl ad aalyz h ym ailr bhaior. iii Biaria Corrci Maiac Modlig. h biaria rwal modl dlopd i ag ii ar xdd o icld rpair im. h maiac im may icld ipcio rpair ad/or rplac im ar amd o b i.i.d. ad h ym ar maiac i amd o b "a good a w." h combid biaria liim-ad-maiac-im proc may b modld a a alraig biaria rwal proc or imply a ordiary biaria rwal proc. o corc hi modl biaria rwal hory may b d i h aalyi o ym ailr bhaior. Hr w coidr rpair im b o pri maiac. i Biaria Pri Maiac Modlig. W modiy ad graliz h biaria corrci maiac modl dlopd i ag iii o rlc h c o pri maiac by dlopig maiac modl wih i.i.d. pri maiac im ad i.i.d. rpair im. ha i w corc biaria pri maiac modl. h modl ar xamid dr a ag rplacm pri maiac policy. Ohr polici ch a groprplacm opporiic rplacm ad/or h combiaio o polici may b modld i a imilar way. Biaria Aailabiliy Modlig. or h dlopd corrci ad pri maiac modl w corc h Laplac raorm or hir corrpodig biaria aailabiliy modl. Som xampl biaria aailabiliy cio ar prd wih h drid biaria ailr modl. h ida o h qaliy o aailabiliy mar i did i rm o biaria aailabiliy modl. 6

7 Sag i o dmora a ramwork i biaria rliabiliy ad maiac modlig. h rl rom ag i o proid a odaio or rhr dy o biaria ad mliaria modl..5 Oli o Rarch I Chapr w proid a lirar riw or biaria rliabiliy modlig biaria rwal hory ad maiac modlig or o-i ym ad mli-i ym. hr i ry limid dy i biaria ailr modlig ad o i biaria maiac modlig ad biaria aailabiliy mar. I Chapr 3 w pr a axoomy o biaria ailr modl cla ad idiy wo cla a or oc. h ochaic cio modl ad corrlad modl ar dlopd ad xamid. Som i rlad o modl ormlaio aalyi ad rhr dy ar dicd. Som xampl mrical calclaio ar proidd. I Chapr 4 w dy a biaria rwal proc ad pr i baic rl bad o Hr biaria rwal horm. Som gralizaio o hi horm ar prd. W obai h rwal cio ad rwal diy or ordiary biaria rwal biaria qai-rwal dlayd biaria rwal ad alraig biaria rwal proc. Biaria Laplac raorm aociad wih h rwal proc ar obaid. I Chapr 5 w pr om xampl or h biaria corrci maiac modl. W apply biaria rwal hory o corrci maiac modlig. Rwal modl ad corrci maiac modl ar obaid wih coidraio o h biaria ailr modl dlopd i Chapr 3. I Chapr 6 w rhr xd h corrci maiac modl o rlc h c o pri maiac polici. A ag rplacm pri maiac i coidrd. Gral rl ar obaid. Exampl o h biaria pri 7

8 maiac modl ar prd i Chapr 7 wih h coidraio o h biaria ailr modl dlopd i Chapr 3. I Chapr 8 w dlop biaria aailabiliy or h biaria corrci ad pri maiac modl. h Laplac raorm or h biaria aailabiliy modl ar obaid. I rlad o h qaliy o aailabiliy mar ar dicd. Exampl or h biaria aailabiliy modl ar prd i Chapr 9. Coclio ad r rarch ar mmarizd i Chapr 0. 8

9 CHAPER II LIERARE REVIEW Chapr II proid a hiorical oriw o om o h xiig lirar o maiac polici biaria rwal proc ad biaria ailr modl. h xiig lirar abo maiac polici do o ra biaria or mliaria maiac i h did hr. Lirar abo aailabiliy mar i h wo-dimioal ca do o xi.. Irodcio I h la w dcad maiac polici ha b a aci ara o rarch. Pirkalla ad Volkr [976] Shri ad Smih [98] Cho ad Parlar [99] ad Mrdock [995] ha prd a daild ry o mch o h xiig work. Nachla [998] Barlow ad Procha [975] ad Grbakh [977] prd maiac ad rplacm modl i a rliabiliy cox. Maiac problm ca b claiid by h complxii o h ym ad hir aociad maiac acio amly igl-i. mli-i ym maiac problm prc. imprc maiac problm ad iaao. oiaao rpair maiac problm. or xampl h igl-i ym maiac modl rpr a igl-i ym wih idpd ad idically diribd i.i.d. liim dr prc maiac polici wih immdia rplacm. ypically i hi modl i.i.d. maiac ric im ar alo amd ad h ym aailabiliy ca b obaid. rhrmor h i.i.d. ampio or boh ym liim ad maiac im ca b gralizd o modl maiac 9

10 problm wih diic maiac ric im. Mli-i maiac problm ollow imilar procdr ad approach. I boh cagori w ca alo coidr dir ym coigraio ad/or rcr o modl mor complicad qipm. Bor h rhr riw o lirar w ir proid om diiio o maiac i bri... Diiio o Maiac Diiio... Bahb-hapd ailr ra BR diribio. A li diribio i aid o b a bahb-hapd ailr ra BR diribio i: dcraig ailr ra DR 0 < i aid o b a coa ailr ra CR <. icraig ailr ra IR < h im iral [0 i calld h arly ailr or ia moraliy priod h iral [ i calld h l or cioal li ad h iral [ i calld h war-o priod. Diiio... Hazard cio. h hazard cio or h ailr ra cio i did a: z.. whr h diy cio xi ad i did a d ad h rliabiliy or rior cio i did a. d 0

11 Diiio..3. IR diribio. Dcraig coa ad icraig ailr ra DR CR ad A li diribio i aid o b a DR diribio i: d z 0 d or 0 <..3 A li diribio i aid o b a CR diribio i: d z 0 d or 0 <..4 A li diribio i aid o b a IR diribio i: d z 0 d or 0 <..5 h cio z i h hazard cio or h ailr ra cio. Diiio..4. Corrci Maiac: prc rpair miimal rpair ad imprc rpair. L z 0 z 0 b h hazard cio or a w ym. h diig z δ z 0 a h hazard cio or a ym ar ric a im. I δ h h ym drgo a prc rpair. I δ z/ z 0 h h ym drgo a miimal rpair. I δ c whr c i a coa ad c > h h ym i imprcly rpaird. Diiio..5. Pri maiac: ag rplacm ad block rplacm. dr a ag rplacm policy a i i i rplacd wih a i.i.d. w o po ailr or a ag a i whichr com ir. dr a block rplacm policy a i i i rplacd wih a i.i.d. w o po ailr ad a ag b b 3b. i i i

12 Diiio..6. Opporiic maiac. Opporiic maiac occr wh i i ha rachd a ag o i ad hr ar ohr i i h ym big rplacd d o ihr corrci maiac CM or pri maiac PM. Diiio..7. Grop maiac. By rplacig grop o aild i iad o rplacig idiidal aild i grop maiac i prormd ihr wh a ixd im iral g i xpird or wh a ixd mbr o i Ng ail whichr com ir.. Biaria Rliabiliy Modl hr ar craily may way o di a biaria rliabiliy modl. I addiio hr ar probably ral alra way o claiy h modl yp. W l ha a iormai claiicaio chm i bad o h rlaiohip bw h wo ariabl. Spciically w diigih bw ho modl or which ag ad ar cioally rlad ad ho i which hy ar corrlad rahr ha cioally dpd. W rhr para h modl i which h wo ariabl ar cioally rlad o h bai o whhr h cio ar drmiiic or ochaic. h modl bad o corrlaio o h wo ariabl may b rhr claiid by whhr 0 or 0. O cor rom a rliabiliy prpci h ca i which ag ad ar idpd i likly o b pracically maigl. Mo o h prioly dlopd biaria rliabiliy modl ra h wo ariabl a cioally rlad. May o h modl o war proc.g. Mrcr [96] ad Lmoi ad Wocr [985] ad ral o ho or cmlai damag.g. Barlow ad Procha [975] ad Birbam ad Sadr [969] porray qipm rliabiliy i

13 rm o drmiiically did drioraio occrrig a radom poi i im. Impora diig ar o all o h modl ar:. hy oc o a igl ailr mchaim or phomo. h ariabl drmi ailr by a hrhold al ad 3. hy ar limaly rdcd o iaria im modl o h bai o h cioal dpdc. h oc o h modl i o drmi how mch im will lap bor h hrhold i rpad. A irig ad o complly obio obraio i ha whil h war proc ad cmlai damag modl ra a a cio o im h proporioal hazard modl Lmi [995] ra ag a a drmiiic cio o coaria. Bca h modl bad po drmiiic cio ar rdcd o iaria orm hy ha b did xily ad ar o xamid rhr hr. h aalyical mphai wih modl bad o ochaic cio ha alo b hir rdcio o a igl dimio - im. h ochaic war modl ad cmlai damag modl ha ra damag magid a a radom ariabl ar all did i a mar ha prmi oc o rliabiliy i im. h am i r o h ho oi modl Lmoi ad Wocr [986]. E h diio proc modl Cox [96] ha rally ar xprd comprhily i rm o boh ariabl ar aalyzd i rm o ir paag im o a ailr a. ially h im dpd r-rgh irrc modl Kapr ad Lambro [977] ha h am characriic ha hy ar d o obai a diribio i im. I i appropria o o ha hr ar ral papr ha addr biaria ad mliaria rliabiliy modl i a ry dir cox ha h o rad hr. Spciically Marhall ad Olki [967a 967b] dlopd mliaria modl or h rliabiliy o ri ym comprid o o-idpd compo. I h modl ach ariabl corrpod o h ag o o o h compo. I h corcio o h modl Marhall ad Olki proid om l diiio b do o ra biaria or mliaria rliabiliy i h did hr. 3

14 I i Sigprwalla ad Wilo [993] who wr h ir o gg h dy o wo-dimioal rwal proc wih h dlopm o biaria ailr modl idxd by im ad ag. hy ollowd h rl o Sigprwalla [99] o irodc a gric biaria modl or ailr ad o pr a gral xprio or a cla o dii idxd by im ad ag. hy d hi ormla a a bai o imla h diy or a wid rag o pciicaio or h ag proc ad applid h biaria ailr modl o h dy o opimal warray problm by ig Mo Carlo imlaio o h xpcd mbr o rwal mbr o prc rpair ia a biaria warray policy. hy h ormlad a gam horic -p or drmiig opimal warrai ad d dyamic liar modl o orca warray claim o ym idxd by im ad ag. Sigprwalla ad Yogr [993] dlopd amili o mliaria li diribio or a wo-compo ym opraig dr dyamic irom. Coidrig h gamma proc ad h ho-oi proc hy xdd Sigprwalla' [99] rl o a w amily o mliaria li diribio. I appar ha h oly or o dy a r biaria rliabiliy modl wa ha o Eliahbrg Sigprwalla ad Wilo. [997]. hy dlopd modl ig boh drmiiic ad ochaic cio ad obaid l rl. hir oc wa h drmiaio o cary warray rr or prodc ch a aomobil. dr i.i.d. ampio or ym liim ad ag hy d biaria rwal hory o pciy h probabiliy graig cio o h diribio o h mbr o warray claim or a im. By ilizig Mo Carlo imlaio hy h obaid approxima rl o h mbr o warray claim ad hir diy cio or a im dr imprc rpair. I or dlopm o biaria ailr modl w icld hir modl ad how how hir approach ca b xdd o di ohr modl. Sigprwalla ad Wilo [998] propod a ragy or corcig biaria rliabiliy modl ha dcrib ailr i rm o im ad ag i a imilar way o h modl o Eliahbrg Sigprwalla ad Wilo [997]. By ig a addii hazard 4

15 cio hy modl h rlaiohip bw h ariabl ad ra a a imdpd ariabl. hy dcrib h olio o ag by ochaic proc lik h Poio h gamma ad h Marko addii ad dlopd h biaria ailr modl or ag dcribd by h Poio h dobly ochaic Poio ad a compod Poio proc. hy h h modl o ol h warray problm by Bayia aiical dciio hory o obai h opimal warray. W icld ad xd hir approach o h corcio o biaria ailr modl..3 Biaria Rwal horm Chg [95] wa h ir o dy ad xd h claical iaria rwal horm o highr dimio. Hr [974a b] did a rwal proc i wo dimio ad dlopd rhr rl. H dicd h biaria graig cio ad biaria Laplac raorm a h baic ool o graliz h claical hory o iaria rwal proc. H prd a xampl o a biaria xpoial diribio o illra h gral hory ad dlopd xplici xprio o h wodimioal rwal cio a wll a h corrlaio bw h margial iaria rwal coig proc. h rwal horm or h mli-dimioal ca ca b od i Mod [967] Spizr [986] ad Sibach ad V.R. Eawood [996]. h mahmaical dlopm ad applicaio o h claical iaria rwal horm ca b od i Çilar [975] Cox [96] Ro [996] ad Smih [958]. 5

16 .4 Maiac modl or o-i ym A igl-i modl or o-i rpr a complicad ym a a igl iy. h rm "igl-i" or "o-i" ym d hr ma ha h ym or prodc i iwd collcily ad ha oly h prormac o h ym a a whol i coidrd o h prormac o h idiidal compo. Nrhl h ym i a collcio o h compo o compo ac h ym. h ym il ca b compod o o dic or may diimilar dic. A complx ym ca alo b iwd a a o-i ym wh h ailr o ay compo i irprd a ailr o h ir ym. I pracic omim i i diicl o obai h rliabiliy daa or idiidal compo whra daa or h ochaic bhaior o h ir ym i aailabl or air o obai. Valdz-lor ad ldma [989] proid a daild ry o pri maiac modl or ochaically drioraig igl-i ym. I i mor impora o o ha a o-i ym i iwd ad rad a a bildig block or a mli-i ym. h mhod or aalyzig igl-i ym orm h bai or aalyzig mlii ym. or o-i or igl-i ym Barlow ad Procha [964] how ha amig a IR DR icraig dcraig ailr ra i ailr diribio h mbr o ailr i [0 ] i ochaically largr mallr wih a ag rplacm policy ha wih a block rplacm policy. hy alo howd ha h mbr o plad rplacm ad h oal mbr o rmoal i alway ochaically mallr dr a ag policy ha dr a block policy. Cox [96] ggd allowig h ym o rmai iaci i a ailr occr i [ k k or ay k ad or om im 0. Sh 0 [996] propod a modiid block rplacm policy wih wo ariabl ad gral radom miimal rpair co. H xdd Cox' modl ch ha i h i ail i [ k k i i ihr rplacd by a w o or miimally rpaird ad i i ail i [ k k 0 0 i i ihr miimally rpaird or rmai iaci il h 6

17 x plad rplacm. h modl wih wo ariabl i raormd io a modl wih o ariabl o obai h opimal policy..4. Imprc maiac Wag ad Pham [ ] propod a qai-rwal proc ad h dy o i applicaio i imprc maiac. hy did a coig proc {N > 0} ad l X do h irarrial im bw h - ad h o h proc or. I h qc o o-gai radom ariabl { X 3...} i idpd ad X α Z or 3... whr Z ar idpd ad idically diribd ad α > 0 i a coa h h coig proc {N > 0} i aid o b a qai-rwal proc wih paramr α ad ir irarrial im X. hy obaid h opimal imprc block rplacm polici or 0 < α bad o h xpcd maiac co pr rwal cycl ad/or h limiig arag aailabiliy. Brow ad Procha [983] coidrd a imprc rpair modl i which a im i rpaird po ailr. Wih probabiliy p h rpair i a prc rpair ad wih probabiliy - p h rpair i miimal rpair i.. ar rpair h ym i "a bad a old". Block Brog ad Sai [985] xdd h modl o Brow ad Procha o h agdpd imprc rpair modl i which a im i rpaird po ailr. Wih probabiliy p h rpair i a prc rpair ad wih probabiliy q - p h rpair i a miimal rpair whr i h ag a h ailr im ic h la prc rpair o h im i. Lam [988a 988b] coidrd a rricd rplacm modl wih parial rpair ha alo accod or h rpair im. H irodcd h gomric proc which i a qc o idpd o-gai radom ariabl { X 3...} ch ha h diribio cio o X i a x whr a i a poii coa. I a > h i i a dcraig gomric proc i a < i i a icraig gomric 7

18 proc. h h did h rricd rpair rplacm modl or a drioraig ym i which h cci rial im o h ym orm a gomric proc ad ar ochaically o-icraig whra h coci rpair im ar ailr alo coi a gomric proc b ar ochaically o-dcraig. H coidrd imlaoly wo yp o rplacm ragi: a rplac h ym i ad oly i i oal opraig im aai a crai prdrmid ll b rplac h ym a h Nh ailr. H obaid xplici xprio or h log-r arag co o h ragi. Sadj ad Zckrma [990] coidrd addiioal mooo proc rplacm modl. hy prd wo rplacm polici h policy ad policy N. dr h rplacm policy a ym i rplacd a a im which dpd o h im rom h iallaio or h la rplacm. dr policy N a ym i rplacd a h im o h Nh ailr. hy howd ha h opimal policy blog o h policy cla N or h log-r arag rward cririo. Lam [990] ga a xplici ormla or drmiig h opimal policy N ad i [99] did a rpair rplacm modl or a ochaically drioraig ym. or h xpcd dicod rward ca h howd ha h opimal rplacm policy i o h orm "rplac a h im o h Nh ailr." Lam [99] gralizd hi arlir work [988a 988b] o dy a gral rpair rplacm modl i which wo yp o rplacm polici ar xamid dr h xpcd dicod rward cririo. H howd ha h opimal policy N i a la a good a h opimal policy. Zhag [994] gralizd Lam' work [988a] wih h biaria policy N dr which h ym i rplacd a warig ag or a h im o h Nh ailr whichr occr ir. H coidrd h problm o chooig a opimal rplacm policy N ch ha h log-r arag co pr i im i miimizd. dr om mild codiio h prod ha h opimal policy N i br ha h opimal policy N or h opimal policy. 8

19 Mi [998] compard ym aailabiliy mar o a igl-i ym bad o ochaic ordrig ad claiicaio o liim diribio. h compario rl ar l i drmiig maiac polici or improig or opimizig h ym opraio iral. Mrdock [995] applid rwal hory o dlop a aailabiliy modl or a ii im horizo or a coioly dmadd compo which i maiaid by a ag rplacm pri maiac policy. H howd ha h opimal ag rplacm priod i a iii im horizo do o maximiz arag aailabiliy or all ii al o compo coomic li. h rl i criical i licycl maiac plaig..5 Maiac modl or mli-i ym I may applicaio h opimal maiac acio or o compo o dpd o h a o h ohr compo ad h ym rliabiliy rqirm. h ampio o prc maiac o mli-i ym i o logr alid l w am h rwal o all i or compo. h h imprc o maiac or imprc maiac ad coomic dpdcy or opporiic or grop maiac ar h major i or modlig mli-i ym maiac problm..5. Imprc maiac Shakd ad Shahikmar [986] ad Sh ad Griih [99] xdd h iaria imprc rpair modl o a mliaria imprc rpair modl. hy modld ym wih dpd compo haig pciic mliaria diribio ach o which drgo imprc rpair. Shakd ad Shahikmar [986] coidrd modl o ym comprid o compo haig dpd liim diribio. po ailr h compo i imprcly rpaird il i i prcly rpaird. hy 9

20 h gralizd hir modl o cor applicaio whr mor ha o compo ca ail a h am im. Sh ad Griih [99] coidrd a biaria o-ag-dpd imprc rpair modl i which wo im ar o cio a h am im. po ailr a im drgo a rpair. hy coidrd dir xral orc ha ca h ailr o h wo im..5. Opporiic maiac Dgbo [996] did opporiic ag rplacm polici or a wo-i ym ad prd aailabiliy aalyi ig a d rwal hory approach. h ym aailabiliy cio or h ailr rplacm policy h opporiic ailr rplacm policy parial opporiic ag rplacm policy ad h opporiic ag rplacm modl. H compard ario rplacm polici ad howd ha h ailr rplacm policy proid a highr aailabiliy ha h ohr rplacm polici. Wag [997] did h τ opporiic maiac o k-o-o- ym wih h coidraio o ym rliabiliy rqirm. I hi modl oly miimal rpair ar prormd o aild compo bor im τ ad corrci maiac o all aild compo ar combid wih pri maiac o all cioig b driorad compo ar τ. I h ym ri o im wiho prc maiac i will b bjc o pri maiac a im. H drid h ym aympoic co ra ad aailabiliy wih applicaio o aircra gi maiac..5.3 Grop maiac By rplacig grop o aild i iad o rplacig idiidal aild i maiac co may b rdcd. hi co aig kow a h coomy o cal rl moly rom h qaiy dico or rdcio o maiac -p co pr i. Sh ad Jhag [996] did a wo-pha maiac policy or a grop o 0

21 idical rpairabl i which icorpora miimal rpair orhal rplacm ad dowim co. hy dlopd a modl o calcla h log-r arag co pr i im or a gralizd grop maiac policy. Nachla ad Rao [99] coidr grop maiac or a ri ym. hy dlop a mhod or drmiig a maiac chdl ad gropig compo. h mhod i approxima ad hriic ad i bad o a co modl which i did i rm o compo rliabiliy mar. h modlig ramwork proid a aalyical mhod or aalyzig pri maiac chdlig problm ad lcig opimal or ar opimal ym ll maiac pla..6 Aailabiliy Aailabiliy i ally d a h ci or radi mar or rpairabl ad/or maiaid ym bca o i coidraio o boh rliabiliy ad maiaiabiliy. Barlow ad Procha [975] di aailabiliy o a rpairabl ym a h probabiliy ha h ym i opraig a a pciid im. Blachard [998] gi a qaliai diiio o aailabiliy a a mar o h dgr o a ym which i i h oprabl ad commiabl a a h ar o miio wh h miio i calld or a a kow radom poi i im. Li Hwag ad illma [977] gi a compl ry ad ymaic claiicaio o aailabiliy. h claiicaio o aailabiliy ar ir dpdig o h im iral coidrd: i poi or iaao aailabiliy ii arag aailabiliy iii limiig or ady-a aailabiliy i limiig arag aailabiliy Barlow ad Procha [975] Li Hwag ad illma [977] Nachla [998] cod coidrig h yp o dowim: ihr aailabiliy i achid aailabiliy ii opraioal aailabiliy Blachard [998] Li Hwag ad illma [977]. Mi [998] gi om compario rl o

22 aailabiliy i h ir cagory. h ir claiicaio o aailabiliy will b or oc i hi diraio ad will b xdd o wo dimio. Aailabiliy coidrd i maiac modlig ca b od i Barlow ad Procha [975] or rplacm modl awzi ad Hawk [99] or a R-o-o-N ym wih par ad rpair awzi ad Hawk [990] or a ri ym wih rplacm ad rpair Iyr [99] or imprc rpair modl Mrdock [995] or ag rplacm pri maiac modl Nachla [ ] or pri maiac modl ad Wag ad Pham [996] or imprc maiac modl..7 Rmark o Lirar Riw h lirar riw dcribd abo how ha may apc i rliabiliy modlig ad maiac aalyi ha b coidrd. Som o hm ha coidrd apc o h problm w dy b o o ha addrd h ll ad cohr corcio o biaria ailr rpair ad pri maiac modl.

23 CHAPER III BIVARIAE AILRE MODELING I hi chapr i rlad o h corcio o biaria rliabiliy modl ad hir applicaio o maiac plaig ar dicd. h diicio bw biaria ailr modl ad modl o ir paag im o a ailr hrhold clarii h moiaio or h dlopm o biaria ailr modl. W idiy wo cla a or oc. h modl cla xamid hr ar ho i which h wo ariabl ar rlad by a ochaic cio ad ho i which h ariabl ar imply corrlad. Exampl o h modl o ach o h wo cla ar did. h gral approach o modl ormlaio i xplaid o ha h radr may corc alra orm. I or iw h yp o biaria ailr modl dcribd hr proid a w way o dy h rliabiliy o qipm or which iaria mar ar icompl. h a w ara o rliabiliy rarch i idiid. h diiio w or may b modiid ad h approach o modl ormlaio w pr may b d o di ohr modl. W rai ral op qio cocrig modl corcio ad aalyi. Boh cocpal diiio ad aalyical mhod warra rhr xploraio. 3. Irodcio I Chapr h dicio o biaria rliabiliy modl proid or iw o how biaria ailr modl hold b claiid. I alo idica h yp o modl ha alrady xi. W l ha h modl ha ha b did ha b ry l i h dy o qipm rliabiliy b ha hr ar problm or which hy ar o wll id. Spciically h diiio o pri maiac pla o h bai o 3

24 boh ad ag rqir a biaria ailr modl. hror i hi chapr w xplor h diiio o biaria ailr modl. W coidr boh h ca o ochaic cioal rlaiohip ad impl corrlaio bw h ag ad ariabl. Or i i hi chapr i o corc biaria ailr modl ad o xami h i rlad o h craio o h modl yp ha ha o y b dlopd. W di om xampl modl ad idiy ral qio ha m b rold i ordr o cra ad aalyz iormai ad l biaria modl. W or xampl modl o illra ad xplai om o h ky i ad w gg dircio or coiig dy. h ky moiaig acor i all o or dicio i h ac ha xiig biaria modl ar did o ha hy ca b collapd io igl ariabl li im diribio modl dpi h ac ha biaria modl may b mor rprai or dcripi o dic logiy. 3. Noaio im o ailr o ailr g cio rlaig ad im α β γ paramr o h cio g π α diy o h paramr α ag ad cio ha drmi h ailr hazard corrlaio coici biaria ailr diy ad diribio cio biaria rliabiliy cio M θ θ mom graig cio or margial diy o a ailr 4

25 codiioal diy o ag gi ag z Z biaria ailr hazard cio biaria cmlai ailr hazard cio z codiioal hazard cio o ag gi ag µ µ ma o h ag ad o h ag diribio adard diaio o h ag ad ag diribio 3.3 Exampl ailr Modl h axoomy o modl yp w dic i Chapr idica ha hr ar wo modl cla ha ar o y wll dlopd ar irig ad may b pracically applicabl. h ar h modl bad o a ochaic cioal rlaiohip bw h wo ariabl ad h modl ha rpr h ariabl a corrlad. W di xampl modl i boh o h cla blow. No ha hr ar ry may cociabl approach o h corcio o h modl ad ha i ordr o iiia h dy o biaria modl w mploy h impl poibl approach hr Sochaic cio h diiio o ailr modl o h bai o ochaic cio rlaig ag ad ar wih h pciicaio o how h ochaic ar o h li ariabl i porrayd. W am ha h im ad o ailr ar rlad by h cio g ad ha h ochaic ar o hi rlaiohip ca b rprd by raig o or mor o h paramr o g a radom ariabl. o illra hi corcio w coidr or xampl orm hr: i g α β 5

26 ii g α β γ iii g α α α i g β whr h orh orm i h logiic modl aalyzd by Eliahbrg Sigprwalla ad Wilo [997]. I ach ca w irodc radom io h cio by raig h paramr α a a radom ariabl haig diribio π α. hi impo radom ariaio o h x o xpricd by ay ag. Coqly boh ag ad ag a ailr ar radom ariabl. h o h diribio π o corc h margial probabiliy diribio o ag i accomplihd ig a raormaio o ariabl. I gral: α dα g π α α 3. d or xampl wih g α β olig or α yild: β α ad dα d o: β π α. 3. Oc h margial diribio o ag i obaid w h corc h joi ailr diy ig h codiioig rlaio: 6

27 3.3 ad h codiioal diy i obaid by ig h wll-kow rlaiohip bw a iaria diy ad i hazard cio: z xp z x dx 0 z xp z x dx 3.4 g 0 g W hi orm pciically o ha w ca oc po h hazard cio i h diiio o h ailr modl. W am ha h codiioal biaria hazard cio o ag gi ag may b ad a: z 3.5 o ha h diiio o h cio ad g drmi h codiioal hazard ad limaly h biaria li diribio. Hr i ordr o oc o h cio g w am ha ad ar impl liar cio. h w ad. dr hi modlig orma h biaria li diribio corrpodig o orm i abo i obaid by corcig: z β x x x β 3.6 ad applyig xprio 3.3 ad 3.4 o obai: 7

28 8 β π β α xp 3.7 h am aalyical approach yild: xp γ β π β γ α 3.8 α π xp 3.9 ad l l l xp β π β β β β β β α 3.0 or ca ii iii ad i rpcily. h dail o how w arri a h orm or h joi diy ar prd i Appdix A. No ha i ca i h diiio o h cio limi h ariabl o [0 ] o h cio may rqir rcalig or om applicaio. Alo i ca i ad ii h orm o h cio g imply a o-zro miimm al or ag. ially obr ha all or modl ar wll did ad rqir oly h pciicaio o h diy α π o b compl biaria li diribio. O h ohr had or ach o hm i i likly ha a clod orm xprio ca b obaid or h margial diribio o ag a ailr.

29 3.3. Corrlaio I may applicaio h wo li ariabl appar o b corrlad rahr ha cioally dpd. h diiio o modl ha ca rpr corrlaio i h li ariabl appar iiially o b omwha implr ha h corcio abo. W imply choo a biaria diribio. Howr i i impora ha h diribio b capabl o accraly rprig qipm bhaior ad i pariclar ha i ha margial diribio ha ar coi wih xpric. W ha lcd hr xampl modl ha appar o hold promi or rprig biaria ailr proc i which h wo ariabl ar corrlad. h ir o h cadida modl i h gralizaio o h biaria xpoial modl did by Bagg ad Nagagaja [996]. I hi modl h rliabiliy cio i: 3. o h corrpodig diy cio i: 4 3. h joi hazard i: 4 z 3.3 ad h margial dii ar: ad 9

30 which ar boh coi xpoial rgardl o h al o. A cod modl ha i a obio choic i h biaria Normal. h diy cio or hi modl i wll kow o b: xp µ µ µ µ π. 3.4 A i alo wll kow h margial dii ar Normal. O ial modl ha w wih o coidr hr i h o ad by Hr [974a] i a qig cox b alo coi wih rliabiliy irpraio: I 0 xp 3.5 whr I i h modiid Bl cio o h ir kid o ordr ad i poii. h margial dii ar ad. 3.4 Modl Aalyi 3.4. Biaria Probabiliy Diribio h arig poi or h aalyi o h biaria ailr modl i h carl diiio ad irpraio o biaria probabilii. hr ar om bl ad omim diicl qio ad cocp ha ari i h applicaio o biaria diribio o rliabiliy. ir or h ag ad ariabl ad rpcily w 30

31 irpr h cmlai ailr probabiliy a h probabiliy ha ailr occr by im ad ag ha i: Pr[ ]. 3.6 O may irpr hi probabiliy a corrpodig o h proporio o h poplaio o dic ha ha logiy cor al a ailr ha do o xcd i ihr cor compo. W mphaiz hi diiio bca o h ac ha or a biaria diribio probabiliy i grally compd or rcagl ch a [ ]. Coqly or ay pciic logiy cor h rag o ag ad al impli ha hr ar or rcagl i h pla or which probabilii may b maiglly calclad. I addiio o h o i Eq. 3.6 h rcagl ar Pr[ ] Pr[ ] ad Pr[ ]. igr 3.4. illra h rcagl. I i o obio b rlai o h cmlai probabiliy h probabilii: ad Pr[ > ] dd Pr[ > ] dd ar rial probabilii. hy corrpod o h proporio o h poplaio ha do o ha logiy cor irior o ihr bca hir ailr ag xcd or hir ailr ag xcd. W do o ha iormai am or h probabilii rprd by Eq. 3.7 ad 3.8 b ha coidrd am ch a margial rial probabilii. 3

32 Pr[ < > ] Pr[ > > ] Pr[ < < ] Pr[ > < ] igr 3.4. Biarai Probabiliy Diribio 3

33 A rhr poi ha i rahr bl i h ac ha h rliabiliy a do o icld h probabilii rprd by Eq. 3.7 ad 3.8. h rliabiliy a logiy cor al corrpod o h proporio o h poplaio or which ailr ag xcd ad ailr ag xcd. hror h rliabiliy cio corrpodig o i: Pr[ ] dd 3.9 Bca i do o icld h probabilii rprd by xprio 3.7 ad 3.8 w call hi h rliabiliy rahr ha h rior cio. h appar paradox i h diiio o ad ari rom diicio i poi o obraio. Wh coidrig h diribio all poii ald logiy cor ca poially occr ad acro a poplaio o dic all do occr. Rlai o h diribio h cmlai probabiliy a do o icld dic or which ihr xcd or xcd. O h ohr had all copi o a dic poplaio ha ha achid a logiy o will ha logiy cor a ailr ha li wihi h rcagl [ < < ] o a h rcagl corrpodig o h margial rial probabilii ar o accibl. h compaio o biaria probabilii i raoably clar. or ay rcagl ay [ ] i h pla h probabiliy o obrig a ailr a a poi icldd i h rcagl i: Pr[ ]. 3.0 A l pcial ca o hi xprio appli o h rliabiliy cio ha may b rprd by: 33

34 34 ] Pr[ < <. 3. Obr ha hi xprio may alo b d o comp cmlai probabilii i ca i which h rliabiliy cio i air ha h diribio cio o aalyz Hazard cio Vry o h ir qio ha ollow h diiio o a probabiliy modl or dic ailr i ha o h idiy ad bhaior o h aociad hazard cio. hi i bca h corcio ad characrizaio o h hazard cio aociad wih a li or logiy diribio i a ky apc o qipm rliabiliy modlig ad aalyi. or a biaria ailr diribio a rr o ir pricipl yild: [ ] z > > Pr lim 0 0 [ ] [ ] > > Pr Pr lim 0 0 lim which i a ry appalig rl.

35 By aalogy wih h iaria ca o may wa o corc biaria ailr modl gi h biaria hazard. or h iaria ca hi approach may b accomplihd gi h ollowig rlaiohip bw ad z: z l or z. 3.3 oraly or h biaria ca h abo rlaiohip do o xi xcp or h ca whr ad ar amd o b idpd which i likly o b pracically maigl. Narally h x qio i whhr or o h hazard cio i icraig. Applyig h Barlow ad Procha [975] diiio o MIR mliaria icraig ailr ra o h biaria li diribio impli ha a diribio i MIR i ad oly i: 3.4 i o-icraig i. h am am appli o h margial diribio ha i i m alo b h ca ha: ad 3.5 ar o-icraig i ad rpcily. h applicaio o h codiio i illrad lar i hi papr. 35

36 3.4.3 Mom A rhr qio i how o comp h ma ad ohr dcripi mar or a biaria logiy diribio. h awr i ha a wih iaria diribio o bgi by corcig h mom graig cio or Laplac raorm ad h obai mom a cci driai o h mom graig cio. h mom graig cio or h biaria ailr diribio i: θ θ θ θ [ ] dd M θ θ E ad h mom o h diribio ar obaid a: k k k E [ ] M θ θ ad [ ] θ k θ 0 θ 0 k E M θ θ. 3.7 θ k θ 0 θ 0 Exampl o h o h xprio ar prd i h x cio Rwal cio h ial i o criical imporac o biaria ailr modlig i how coolio ar corcd ad how biaria rwal cio ar did ad irprd. oraly h coolio horm ha b how o xd dircly o h biaria ca Hr [974a] o ha: k k dd O h ohr had h diiio ad irpraio o h aociad coig proc ad h biaria rwal cio i l obio ad may dpd po h applicaio. 36

37 3.5 Exampl Calclaio o Biaria ailr Modl h gral cocp did abo ca b illrad by applicaio o h xampl modl. O cor xcp or h biaria xpoial diribio o xprio 3. o o h abo biaria modl ha clod orm xprio or hir cmlai probabilii. h w m mrical mhod o comp probabilii rliabiliy al ad mom ad o xami h bhaior o h hazard cio. A xampl o h aalyi o h mhod coidr or h ochaic cio modl h dii o Eq. 3.7 ad 3.0 ad or h corrlaio modl h biaria xpoial o Eq. 3. ad h biaria Normal i Eq I h ca o h ochaic cio modl am π i a gai xpoial diy o h orm: α π α α c c. 3.9 h or h modl o Eliahbrg Sigprwalla ad Wilo [997] Eq. 3.0 arbirarily ig h paramr o b 0 6 β c 000 yild h ollowig al or h cmlai diribio cio a how i abl All h mrical rl prd i hi cio ar obaid by ig h mrical igraio cio i Mahmaica 4.0 Wolram Rarch

38 abl 3.5. CD Val or Eq Corrpodig rliabiliy al ar how i abl abl 3.5. Rliabiliy Val or Eq h hazard al ar how i abl

39 abl Hazard Val or Eq A irig apc o hi diribio i ha h o h hazard cio bhaior i icocli bca h hazard i icraig i ag ad dcraig ad h icraig i ag. A a bai o compario o ha wh 0 6 β c 0.75 h liar ochaic cio o Eq. 3.7 yild h ollowig cmlai ailr probabilii a how i abl abl CD Val or Eq h corrpodig rliabiliy al ar how i abl

40 abl Rliabiliy Val or Eq h al o hazard cio ar how i abl or hi modl h hazard cio i icraig i boh ariabl. abl Hazard Val or Eq h biaria xpoial Eq. 3. i mch air o aalyz bca i ca b igrad i clod orm. h rliabiliy i ad i qaio 3. ad h cmlai probabilii ar gi by: 40

41 ig paramr al o ad 0.6 w obai h ollowig al o cmlai ailr probabilii a how i abl abl CD Val or Eq h rliabiliy al ar how i abl abl Rliabiliy Val or Eq

42 I addiio or h ad paramr al h hazard cio ha boh icraig ad dcraig bhaior. h al o hazard cio ar how i abl abl Hazard Val or Eq ig h biaria xpoial o Hr [974] Eq. 3.5 ad ig h paramr o b ad 0.6 a a bai o compario w obai h al o cmlai ailr probabilii a how i abl abl CD Val or Eq

43 h rliabiliy al ar how i abl abl 3.5. Rliabiliy Val or Eq h al o hazard cio ar how i abl abl 3.5. Hazard Val or Eq or h ad paramr al h hazard cio bhaior i icocli bca h hazard i dcraig icraig ad h dcraig ad icraig i ag ad dcraig icraig ad h dcraig i ag. 43

44 or h biaria ormal Eq. 3.4 wih paramr al µ 3000 µ ad 0.6 w obai h ollowig al o cmlai ailr probabilii a how i abl abl CD Val or Eq h rliabiliy al ar how i abl abl Rliabiliy Val or Eq h al o hazard cio ar how i abl

45 abl Hazard Val or Eq or h ad paramr al h hazard cio bhaior i icocli bca h hazard i icraig ad h dcraig i ag ad icraig ad h dcraig i ag. h prpo o h xampl i o illra h ac ha cmlai probabilii rliabiliy al ad hazard al ca b coily compd. h modl ca b mad o cor ay appropria cal by adjig h paramr or rirprig h ariabl. h al mrad alo illra h ac ha <. 3.3 h x apc o h aalyi o h biaria ailr modl i h drmiaio o h diribio mom. or h biaria Normal diribio o Eq. 3.4 h aalyi i raigh orward a h mom graig cio i kow o b Mood Graybill ad Bo [974]: M θ θθ θ θ θ xp θµ θ µ

46 ad a aicipad applicaio o Eq. 3.7 yild h ma cor E [ ] µ µ Corrpodig rl occr or highr mom.. A a cod xampl o ha h mom graig cio or h biaria xpoial ca b drid a: M θ θ 4 θ θ θ θ θ θ θ θ ad a a rl h ma cor i [ ] E or h ohr xampl diribio h corcio o h mom graig cio i coidrably mor diicl. I ac or h modl i Eq ad 3.0 clod orm xprio or h mom graig cio do o xi. I ach o ho ca aalyi o mom i b prormd by mrically compig h mom or h margial diribio. or xampl or h modl o Eliahbrg Sigprwalla ad Wilo [997] wih h am paramr a ho d abo mrical compaio o h xpcaio cor yild [ ] E. Similarly h liar ochaic cio modl ha xpcaio cor o oraly a dirc mrical approach will oly work or h corrlad cio modl i h corcio o coolio ad rwal cio. I appar ha coolio or h ochaic cio modl will rqir h o ri xpaio ad mrical approximaio ch a ho did or h iaria Wibll diribio by Lomicki [966]. E wih a approach o compig coolio h diiio o h rwal cio i o raighorward. Hr [974] ar wih margial rwal coig proc ad ak h miimm o ho o obai h biaria coig proc. ha approach appar appropria or h qig applicaio ha Hr di b do 46

47 o appar o coorm o h o qipm rliabiliy ad maiac aalyi. W gg ha h coig proc b did or h ag-ag pla o ha k i irprd a h cmlai probabiliy ha a h kh rwal h logiy cor do o xcd a ag o or a ag o. Wih hi irpraio h coig proc N i wll did ad w ca h coioal "im-rqcy" daliy o a probabilii ch a: k [ N k] Pr h w hold b abl o hi probabiliy am o obai rwal rl ha ar prd i Chapr 4. I Chapr 5 w dlop corrci maiac modl by ig h rl o biaria rwal hory. I Chapr 6 w coidr a ag rplacm pri maiac policy ad dlop biaria pri maiac modl. Exampl or h pri maiac modl ar prd i Chapr 7. h w di a aailabiliy mar or qipm ha ha a biaria logiy mar. hi i prd i Chapr 8 wih i xampl prd i Chapr 9. 47

48 CHAPER IV BIVARIAE RENEWAL MODELING I hi chapr a biaria rwal hory dlopd by Hr [974a b] i prd. Bad o Hr' work w propo a ordiary biaria rwal hory. W alo xd Wag ad Pham [996] iaria qai-rwal hory o h biaria ca. Baic rl or h wo yp o proc ad om gralizaio o ordiary biaria rwal hory ar alo obaid. 4. Noaio X S V h h im o ailr h h o ailr h biaria radom cor h im o h h rwal h ag o h h rwal Y h biaria radom cor o boh im ad o h h rwal S V biaria ailr diy ad diribio cio h -old coolio o G h coolio o... ad N h mbr o rwal by im ad ag M h biaria rwal cio or 48

49 m h biaria rwal diy cio or L { } biaria Laplac raorm or L { } biaria Laplac raorm or { } LS biaria Laplac-Silj raorm or 4. Biaria Rwal Proc L { X { }...} b a qc o idpd ad idically diribd o-gai biaria radom cor wih h commo joi diribio cio j.d.. P{ } ad o aoid riialii am ha 00 P{ 0 0} <. Lig i i i i i Y Y X S V i 4. i ollow ha Y S V i h biaria mar o boh im ad o h h rwal a illrad i igr 4... A h mbr o by im ad ag will qal h larg al o or which h h rwal occr bor or a im ad ag i ollow ha h mbr o rwal by im ad ag i gi by N N p{ : 0 S V } p{ : 0 Y }. 4. No ha { N > 0 > 0} i a coig proc. L ad do h irarrial im ad ag rpcily bw h ad h o hi proc. 49

50 ag V3 Y3 V 3 Y V Y Y0 3 S S S3 im igr 4.. A biaria rwal proc. Diiio 4.. L h qc o o-gai biaria radom cor { X i i...} b idpd ad idically diribd. h coig proc { > 0 > 0} i N calld a biaria rwal coig proc. or a xampl o a biaria rwal proc ppo ha hr i a iii pply o w ir who ag-milag cor { X i i...} ar idpd ad idically diribd. No ha ag liim ad milag ag may b corrlad or a gi ir. Sppo alo ha h ir ar d o a a im ad wh o ail w immdialy rplac i wih a w o. dr h codiio h coig proc { N > 0 > 0} i a biaria rwal coig proc whr N rpr h mbr o ir ha ha aild by im ad by oal milag. 50

51 4.3 Diribio o N or a Biaria Rwal Proc h diribio o N ca b obaid by ir oig h impora rlaiohip ha h mbr o rwal by im ad ag i grar ha or qal o i ad oly i h h rwal occr bor or a im ad ag. ha i { N } { S V } { Y }. 4.3 rom Eq. 4.3 P{ N } P{ N } P{ N } 4.4 P{ Y } P{ Y }. Sic h radom cor X i i... ar idpd ad idically diribd wih a commo joi diribio P{ } i ollow ha Y i diribd a h -old coolio o wih il. h rom Eq. 4.4 w obai h ollowig horm. horm 4.3. or 0 ad 0 P{ N }. 4.5 Proo. S Hr [974] p

52 A impora pciic ralizaio o Eq. 4.5 i: 0 P{ N 0}. 4.6 No ha i Eq.4.6 h probabiliy ha h mbr o biaria rwal bor i zro i o qal o h rliabiliy. I ac < a w ha alrady how i Chapr 3. L M E[ N ] 4.7 rpr h biaria rwal cio or biaria ma-al cio. h ollowig horm illra h rlaiohip bw M ad. horm 4.3. or 0 ad 0 M. 4.8 Proo. L N I whr Hc I i h h rwal occrrd i h rcagl[0 ] [0 ] 0 ohrwi. E[ N ] E[ I ] 5

53 53 ] [ I E } { I P } { V S P } { Y P whr h irchag o xpcaio ad mmaio i jiid by h o-gaiiy o h I. raormig M io h rcri orm c. Nachla [998] p.99: M j j 0 0 j j y x d y x 0 0 y x d y x j j 0 0 y x d y x M. Hc 0 0 y x d y x M M. 4.9

54 Eq. 4.9 i calld h igral qaio o biaria rwal hory. Amig ha i abolly coio h h driai o M dod by m i calld h biaria rwal diy cio m M m x y x y dxdy ad m rpr h probabiliy o a rwal a ay poi i h im-ag pla. No ha i w l h ma ad ariac o ad b µ rpcily h µ ad m ~ φ 4. whr φ i h biaria ormal diy wih ma µ ad corrlaio coici. µ ariac 4.4 Biaria Qai-Rwal Proc Rwal hory proid a damal ool or corcig impl maiac modl. h impliciy com rom h i.i.d. ampio o h im bw cci. h ar maiac h qipm i amd o b "a good a w." Howr i pracic ar maiac h liim o h qipm will bcom horr ad horr whil i maiac im may bcom logr ad logr. I ordr o 54

55 rwal hory o modl a gradal drioraio Wag ad Pham [ ] dlopd a iaria qai-rwal proc i which h i.i.d. ampio i rdcd o am oly ha h cci irarrial im ar idpd. h qai-rwal proc i alo calld a gomric proc by Lam Yh [988b]. I hi cio w xd hir rl o a biaria qai-rwal proc ad pr om baic rl. Diiio 4.4. L { X...} b a ochaic proc ch ha ad do h irarrial im ad ag rpcily bw h ad h o a coig proc { > 0 > 0}. h h coig proc i aid o b a N biaria qai-rwal proc i ad oly i: ζ ζ X whr ar i.i.d. radom cor ad ζ ad ζ ar o-gai cio. I word a biaria qai-rwal proc i a ochaic proc whr h cci irarrial ar idpd ad ar dcraig po ach rwal by a racio ζ or ad icraig by a racio ζ or or boh ζ ad ζ < or ζ or ad ζ or or boh ζ ad ζ >. h or boh ζ ad ζ qal o h biaria qai-rwal proc i h ordiary biaria rwal proc. I olig maiac problm h biaria qai-rwal proc ca b d o modl a biaria ochaic maiac proc wih boh ζ ad ζ <. or boh ζ ad ζ > biaria 55

56 qai-rwal proc ca b applid o modl a rliabiliy growh proc i prodc dlopm ad/or a br-i program. No ha h xio o h biaria ca i o h oly xio o h iaria qai-rwal proc ha w ca. W alo gg ha mor gral orm or boh ζ ad ζ ca b did or h iaria ad biaria ca b ha w will o pr h hr. I w l ζ ζ ζ ζ whr ζ ad ζ ar o-gai coa ad am ha h joi probabiliy diy cio pd cmlai diy cio cd rial cio ad hazard cio h o h radom cor X ar ad z rpcily. h i ollow ha h pd cd h ma ad ariac o radom cor X or ar gi by: ζ ζ ζ ζ 4.3 ζ ζ 4.4 ζ ζ 4.5 z z ζ ζ ζ ζ E Var [ X ] ζ E[ X ] 4.6 ζ 4.7 X ζ Var X ζ. 4.8 Bca h o-gaiiy o X ad h ac X i o idically 0 w cocld ha [ ] µ 0 E. X 56

57 horm 4.4. I blog o MIR MDR h i alo MIR MDR or Proo. Sppo ha h hazard cio o X i diriabl wih rpc o ad. rom Eq. 4.6 h driai o h hazard cio o X i gi by: z z ζ ζ ζ ζ. 4.9 rom Eq. 4.9 w ha i z i icraig dcraig h z i alo icraig dcraig. hi compl h proo. 4.5 Diribio o N or a Biaria Qai-Rwal Proc Coidr a biaria qai-rwal proc. h diribio o N ca b obaid by ir oig h impora rlaiohip ha h mbr o rwal by im i grar ha or qal o i ad oly i h h qai-rwal occr bor or a im ad ag. ha i { N } { S V } { Y }. 4.0 whr Y ad i i ζ i i S V X i i i i Y ζ

58 I ollow ha Y i h biaria mar o boh im ad o h h qai-rwal a i a ordiary biaria rwal proc. Sic h mbr o by im ad ag will qal h larg al o or which h h qai-rwal occr bor or a im ad ag w ha ha h mbr o qai-rwal by im i gi by N N p{ : 0 S V } p{ : 0 Y }. 4. rom Eq. 4.0 w obai P{ N } P{ N } P{ N } 4.3 P{ Y } P{ Y } G G whr G h coolio o h irarrial diribio... i.. G L. Sic h radom ariabl X... ar idpdly diribd wih diribio P{ X } P{ ζ ζ } i ollow ha Y i diribd a G h coolio o h irarrial diribio.... hror h ollowig horm i obaid: horm 4.5. or 0 ad 0 P{ N } G G

59 Proo. Gi abo. A impora pciic ralizaio o Eq. 4.4 i: P{ N 0 0} G G. 4.5 L M G E[ N ] 4.6 whr M G rpr h qai-rwal cio or ma-al cio. h ollowig horm illra h rlaiohip bw M G ad G. horm 4.5. or 0 0 ad 0 M G G. 4.7 Proo. h proo o hi horm i imilar a o horm Hr w pr a horr proo a ollow. M E[ N ] G 0 0 P{ N } [ G G ] by horm 4.5. G. 59

60 60 raormig M G io h rcri orm: G G M G G j j G 0 0 j j y x d y x G 0 0 y x d y x G j j 0 0 y x d y x M G. Hc 0 0 y x d y x M M G G. 4.8 Eq. 4.8 i calld h igral qaio o qai-rwal hory. Amig ha i abolly coio h h driai o M G dod by m G i calld h qai-rwal diy cio G G g M d d m 4.9 G dxdy y x y x m 0 0 ad m G rpr h probabiliy o a qai rwal a ay poi i h im-ag pla.

61 4.6 Biaria Laplac raorm I biaria rwal hory h logiy radom ariabl rpr h irarrial iral ad oly am o-gai al. h biaria Laplac raorm o a arbirary cio φ i did a: { } φ xy L φ x y dxdy 0 0 φ or a joi diribio cio h Laplac-Silj raorm i did a: LS { } d dd L { } Am ha h joi diribio cio i adqaly coio ad diriabl i.. x y dydx 0 < <. 0 0 h ollowig horm idica h rlaiohip bw h Laplac raorm o ad i diy cio. horm 4.6. L ad b h Laplac raorm o ad i diy cio. h

62 6 Proo. { } { } dd dydx y x dydx y x L L x y dddydx y x dydx y x dd dd dd dd x y x y x y 0 0 dydx y x x x x x x x x x 0 0 dydx y x y x 0 0 dydx y x y x rom Eq ad 4.3 i w wri { } dd M M L M 0 0 h i ollow ha { } { } dydx y x y x M L M L M 0 0 dydxdd y x y x M dydxdd y x y x M dydx y x dd y x M y x x y y x 0 0.

63 L w x ad z y o dw d ad dz d or w [ 0 ad z [ 0 h M wz M w z dzdw xy 0 0 x y M x y dydx x y dydx M Eq ca b old o yild h ollowig horm: horm 4.6. L M b h Laplac raorm o. h M ad 4.34 M [ ] M or M M M h corrpodig rl or m ad ar how i h ollowig horm. horm L m b h Laplac raorm o. h m ad 4.36 m 63

64 m m I i impora ha kowldg o h biaria rwal cio M impli compl kowldg o all apc o h biaria rwal proc Hr [974] pp h rl o horm 4.6. ad corrpod o h iaria rwal hory Cox [96] pp.46 which ar ry appalig. or h biaria qai-rwal proc wih ζ ζ obai h ollowig rl or h Laplac-Silj raorm. ζ ζ w horm L b h Laplac-Silj raorm or h diribio or X. L M G b h Laplac-Silj raorm or. L M G m G b h Laplac raorm or. h m G { } ζ ζ LS d 0 0 ζ ζ 4.38 M G { M } LS G ζ ζ L ζ ζ 4.39 ad 64

65 m G g ζ ζ ζ L ζ Dlayd or Modiid Biaria Rwal Proc Coidr a biaria rwal proc whr h ir rwal ha a dir diribio ha bq rwal. Sppo ha w ar obrig a biaria rwal proc a om poi > 0. I a rwal do o occr a h h joi diribio o h im ad ag w m wai il h ir obrd rwal will o b h am a h rmaiig irarrial diribio. L { X...} b a qc o idpd o-gai biaria radom cor wih X haig joi diribio ad joi diribio or i >. L 0 i i i i i X i haig commo Y 00 Y X S V or... h mbr o rwal by im ad ag i did by i ND p{ : 0 S V } p{ : 0 Y }. 4.4 Diiio 4.7. L h qc o o-gai biaria radom cor { X i i...} b idpdly diribd wih X haig joi diribio ad X i haig commo joi diribio i... h coig proc { ND > 0 > 0} i calld a dlayd or modiid biaria rwal coig proc. 65

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1 TH ROAL TATITICAL OCIT 6 AINATION OLTION GRADAT DILOA ODL T oci i providig olio o ai cadida prparig or aiaio i 7. T olio ar idd a larig aid ad old o b a "odl awr". r o olio old alwa b awar a i a ca r ar

More information

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform Aalyi o No-Siuoidal Wavorm Par Laplac raorm I h arlir cio, w lar ha h Fourir Sri may b wri i complx orm a ( ) C jω whr h Fourir coici C i giv by o o jωo C ( ) d o I h ymmrical orm, h Fourir ri i wri wih

More information

Chapter 11 INTEGRAL EQUATIONS

Chapter 11 INTEGRAL EQUATIONS hapr INTERAL EQUATIONS hapr INTERAL EUATIONS Dcmbr 4, 8 hapr Igral Eqaios. Normd Vcor Spacs. Eclidia vcor spac. Vcor spac o coios cios ( ). Vcor Spac L ( ) 4. achy-byaowsi iqaliy 5. iowsi iqaliy. Liar

More information

Note 6 Frequency Response

Note 6 Frequency Response No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio

More information

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012 AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr

More information

Chapter 7 INTEGRAL EQUATIONS

Chapter 7 INTEGRAL EQUATIONS hapr 7 INTERAL EQUATIONS hapr 7 INTERAL EUATIONS hapr 7 Igral Eqaios 7. Normd Vcor Spacs. Eclidia vcor spac. Vcor spac o coios cios ( ). Vcor Spac L ( ) 4. ach-baowsi iqali 5. iowsi iqali 7. Liar Opraors

More information

Continous system: differential equations

Continous system: differential equations /6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio

More information

( A) ( B) ( C) ( D) ( E)

( A) ( B) ( C) ( D) ( E) d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio

More information

UNIT VIII INVERSE LAPLACE TRANSFORMS. is called as the inverse Laplace transform of f and is written as ). Here

UNIT VIII INVERSE LAPLACE TRANSFORMS. is called as the inverse Laplace transform of f and is written as ). Here UNIT VIII INVERSE APACE TRANSFORMS Sppo } { h i clld h ivr plc rorm o d i wri } {. Hr do h ivr plc rorm. Th ivr plc rorm giv blow ollow oc rom h rl o plc rorm, did rlir. i co 6 ih 7 coh 8...,,! 9! b b

More information

Slope stability in relation to the coefficient of thermal conductivity

Slope stability in relation to the coefficient of thermal conductivity IAEG6 Papr mbr 798 Slop abiliy i rlaio o h coffici of hrmal codciiy YONG BAEK YONG SEOK SEO JA HYEA JUNG 3 OI KWON 4 & SEONG HYEON SHIM 5 5 Kora Ii of Corcio chology. -mail: ba44@ic.r.r Chgboo Uiriy. -mail:

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

Poisson Arrival Process

Poisson Arrival Process Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C

More information

Poisson Arrival Process

Poisson Arrival Process 1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region.

1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region. INEL495 SIGNALS AND SYSEMS FINAL EXAM: Ma 9, 8 Pro. Doigo Rodrígz SOLUIONS Probl O: Copl Epoial Forir Sri A priodi ri ar wav l ad a daal priod al o o od. i providd wi a a 5% d a.- 5 poi: Plo r ll priod

More information

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

x, x, e are not periodic. Properties of periodic function: 1. For any integer n, Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo

More information

Control Systems. Transient and Steady State Response.

Control Systems. Transient and Steady State Response. Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.

More information

UNIT I FOURIER SERIES T

UNIT I FOURIER SERIES T UNIT I FOURIER SERIES PROBLEM : Th urig mom T o h crkh o m gi i giv or ri o vu o h crk g dgr 6 9 5 8 T 5 897 785 599 66 Epd T i ri o i. Souio: L T = i + i + i +, Sic h ir d vu o T r rpd gc o T T i T i

More information

Chapter 3 Linear Equations of Higher Order (Page # 144)

Chapter 3 Linear Equations of Higher Order (Page # 144) Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod

More information

3.2. Derivation of Laplace Transforms of Simple Functions

3.2. Derivation of Laplace Transforms of Simple Functions 3. aplac Tarform 3. PE TRNSFORM wid rag of girig ym ar modld mahmaically by uig diffrial quaio. I gral, h diffrial quaio of h ordr ym i wri: d y( a d d d y( dy( a a y( f( (3. d Which i alo ow a a liar

More information

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem iol ol o L choloy i Eii M & Alid Scic LEMAS Vol V Fy 8 SSN 78-54 hl S o Si-ii Al B: Dic Pol Viv Fl M. S. Wh d N. W. hod 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi M.S di 3 D o

More information

ISSN: [Bellale* et al., 6(1): January, 2017] Impact Factor: 4.116

ISSN: [Bellale* et al., 6(1): January, 2017] Impact Factor: 4.116 IESRT INTERNTIONL OURNL OF ENGINEERING SCIENCES & RESERCH TECHNOLOGY HYBRID FIED POINT THEOREM FOR NONLINER DIFFERENTIL EQUTIONS Sidhshwar Sagram Bllal*, Gash Babrwa Dapk * Dparm o Mahmaics, Daaad Scic

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite Wb-basd Supplmary Marials for Sampl siz cosidraios for GEE aalyss of hr-lvl clusr radomizd rials by Sv Trsra, Big Lu, oh S. Prissr, Tho va Achrbrg, ad Gorg F. Borm Wb-appdix : macro o calcula h rag of

More information

ECEN620: Network Theory Broadband Circuit Design Fall 2014

ECEN620: Network Theory Broadband Circuit Design Fall 2014 ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

Approximate solutions for the time-space fractional nonlinear of partial differential equations using reduced differential transform method

Approximate solutions for the time-space fractional nonlinear of partial differential equations using reduced differential transform method Global Joral o Pr ad Applid Mahmaics ISSN 97-768 Volm Nmbr 6 7 pp 5-6 sarch Idia Pblicaios hp://wwwripblicaiocom Approima solios or h im-spac racioal oliar o parial dirial qaios sig rdcd dirial rasorm

More information

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Consider serial transmission. In Proakis notation, we receive

Consider serial transmission. In Proakis notation, we receive 5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr

More information

Exotic Options Pricing under Stochastic Volatility

Exotic Options Pricing under Stochastic Volatility Caada Rarch Chair i Ri Maagm Worig papr 5- Jaary 5 Exoic Opio Pricig dr Sochaic olailiy Nabil AHANI Nabil ahai i a h School of Admiiraiv Sdi Yor Uivriy oroo Caada. Fiacial ppor wa providd by h Caada Rarch

More information

Fourier Techniques Chapters 2 & 3, Part I

Fourier Techniques Chapters 2 & 3, Part I Fourir chiqus Chaprs & 3, Par I Dr. Yu Q. Shi Dp o Elcrical & Compur Egirig Nw Jrsy Isiu o chology Email: shi@i.du usd or h cours: , 4 h Ediio, Lahi ad Dog, Oord

More information

, then the old equilibrium biomass was greater than the new B e. and we want to determine how long it takes for B(t) to reach the value B e.

, then the old equilibrium biomass was greater than the new B e. and we want to determine how long it takes for B(t) to reach the value B e. SURPLUS PRODUCTION (coiud) Trasiio o a Nw Equilibrium Th followig marials ar adapd from lchr (978), o h Rcommdd Radig lis caus () approachs h w quilibrium valu asympoically, i aks a ifii amou of im o acually

More information

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional Mlil idd variabls March 9 Mlidisioal Parial Dirial Eaios arr aro Mchaical Egirig 5B iar i Egirig Aalsis March 9 Ovrviw Rviw las class haracrisics ad classiicaio o arial dirial aios Probls i or ha wo idd

More information

Variational Iteration Method for Solving Telegraph Equations

Variational Iteration Method for Solving Telegraph Equations Availabl a hp://pvam.d/aam Appl. Appl. Mah. ISSN: 9-9 Vol. I (J 9) pp. (Prvioly Vol. No. ) Applicaio ad Applid Mahmaic: A Iraioal Joral (AAM) Variaioal Iraio Mhod for Solvig Tlgraph Eqaio Syd Taf Mohyd-Di

More information

Mixing time with Coupling

Mixing time with Coupling Mixig im wih Couplig Jihui Li Mig Zhg Saisics Dparm May 7 Goal Iroducio o boudig h mixig im for MCMC wih couplig ad pah couplig Prsig a simpl xampl o illusra h basic ida Noaio M is a Markov chai o fii

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition: Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all

More information

Modeling of the CML FD noise-to-jitter conversion as an LPTV process

Modeling of the CML FD noise-to-jitter conversion as an LPTV process Modlig of h CML FD ois-o-ir covrsio as a LPV procss Marko Alksic. Rvisio hisory Vrsio Da Comms. //4 Firs vrsio mrgd wo docums. Cyclosaioary Nois ad Applicaio o CML Frqucy Dividr Jir/Phas Nois Aalysis fil

More information

ON H-TRICHOTOMY IN BANACH SPACES

ON H-TRICHOTOMY IN BANACH SPACES CODRUTA STOICA IHAIL EGA O H-TRICHOTOY I BAACH SPACES Absrac: I his papr w mphasiz h oio of skw-oluio smiflows cosidrd a gralizaio of smigroups oluio opraors ad skw-produc smiflows which aris i h sabiliy

More information

1. Introduction and notations.

1. Introduction and notations. Alyi Ar om plii orml or q o ory mr Rol Gro Lyé olyl Roièr, r i lir ill, B 5 837 Tolo Fr Emil : rolgro@orgr W y hr q o ory mr, o ll h o ory polyomil o gi rm om orhogol or h mr Th mi rl i orml mig plii h

More information

AN INTEGRO-DIFFERENTIAL EQUATION OF VOLTERRA TYPE WITH SUMUDU TRANSFORM

AN INTEGRO-DIFFERENTIAL EQUATION OF VOLTERRA TYPE WITH SUMUDU TRANSFORM Mmic A Vol. 2 22 o. 6 54-547 AN INTGRO-IRNTIAL QUATION O VOLTRRA TYP WITH UMUU TRANORM R Ji cool o Mmic d Allid cic Jiwji Uiviy Gwlio-474 Idi mil - ji3@dimil.com i ig pm o Applid Mmic Ii o Tcology d Mgm

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

THE LAPLACE TRANSFORM

THE LAPLACE TRANSFORM THE LAPLACE TRANSFORM LEARNING GOALS Diniion Th ranorm map a ncion o im ino a ncion o a complx variabl Two imporan inglariy ncion Th ni p and h ni impl Tranorm pair Baic abl wih commonly d ranorm Propri

More information

Partial Fraction Expansion

Partial Fraction Expansion Paial Facion Expanion Whn ying o find h inv Laplac anfom o inv z anfom i i hlpfl o b abl o bak a complicad aio of wo polynomial ino fom ha a on h Laplac Tanfom o z anfom abl. W will illa h ing Laplac anfom.

More information

BMM3553 Mechanical Vibrations

BMM3553 Mechanical Vibrations BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy

More information

2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function

2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function Chapr VII Spcial Fucios Ocobr 7, 7 479 CHAPTER VII SPECIAL FUNCTIONS Cos: Havisid sp fucio, filr fucio Dirac dla fucio, modlig of impuls procsss 3 Si igral fucio 4 Error fucio 5 Gamma fucio E Epoial igral

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

(1) (2) sin. nx Derivation of the Euler Formulas Preliminary Orthogonality of trigonometric system

(1) (2) sin. nx Derivation of the Euler Formulas Preliminary Orthogonality of trigonometric system orir Sri Priodi io A io i lld priodi io o priod p i p p > p: ir I boh d r io o priod p h b i lo io o priod p orir Sri Priod io o priod b rprd i rm o rioomri ri o b i I h ri ovr i i lld orir ri o hr b r

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

82A Engineering Mathematics

82A Engineering Mathematics Class Nos 5: Sod Ordr Diffrial Eqaio No Homoos 8A Eiri Mahmais Sod Ordr Liar Diffrial Eqaios Homoos & No Homoos v q Homoos No-homoos q ar iv oios fios o h o irval I Sod Ordr Liar Diffrial Eqaios Homoos

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23 BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No.

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No. Dpm o Mhmics Bi Isi o Tchoog Ms Rchi MA Advcd gg. Mhmics Sssio: 7---- MODUL IV Toi Sh No. --. Rdc h oowig i homogos dii qios io h Sm Liovi om: i. ii. iii. iv. Fid h ig-vs d ig-cios o h oowig Sm Liovi bod

More information

DETERMINATION OF THERMAL STRESSES OF A THREE DIMENSIONAL TRANSIENT THERMOELASTIC PROBLEM OF A SQUARE PLATE

DETERMINATION OF THERMAL STRESSES OF A THREE DIMENSIONAL TRANSIENT THERMOELASTIC PROBLEM OF A SQUARE PLATE DRMINAION OF HRMAL SRSSS OF A HR DIMNSIONAL RANSIN HRMOLASIC PROBLM OF A SQUAR PLA Wrs K. D Dpr o Mics Sr Sivji Co Rjr Mrsr Idi *Aor or Corrspodc ABSRAC prs ppr ds wi driio o prr disribio ow prr poi o

More information

15. Numerical Methods

15. Numerical Methods S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(

More information

Software Development Cost Model based on NHPP Gompertz Distribution

Software Development Cost Model based on NHPP Gompertz Distribution Idia Joural of Scic ad Tchology, Vol 8(12), DOI: 10.17485/ijs/2015/v8i12/68332, Ju 2015 ISSN (Pri) : 0974-6846 ISSN (Oli) : 0974-5645 Sofwar Dvlopm Cos Modl basd o NHPP Gomprz Disribuio H-Chul Kim 1* ad

More information

Signal & Linear System Analysis

Signal & Linear System Analysis Pricipl of Commuicaio I Fall, Sigal & Liar Sym Aalyi Sigal & Liar Sym Aalyi Sigal Modl ad Claificaio Drmiiic v. Radom Drmiiic igal: complly pcifid fucio of im. Prdicabl, o ucraiy.g., < < ; whr A ad ω ar

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

A FAMILY OF GOODNESS-OF-FIT TESTS FOR THE CAUCHY DISTRIBUTION RODZINA TESTÓW ZGODNOŚCI Z ROZKŁADEM CAUCHY EGO

A FAMILY OF GOODNESS-OF-FIT TESTS FOR THE CAUCHY DISTRIBUTION RODZINA TESTÓW ZGODNOŚCI Z ROZKŁADEM CAUCHY EGO JAN PUDEŁKO A FAMILY OF GOODNESS-OF-FIT TESTS FO THE CAUCHY DISTIBUTION ODZINA TESTÓW ZGODNOŚCI Z OZKŁADEM CAUCHY EGO Abrac A w family of good-of-fi for h Cauchy diribuio i propod i h papr. Evry mmbr of

More information

Chapter 7 INTEGRAL EQUATIONS

Chapter 7 INTEGRAL EQUATIONS hpr 7 INTERAL EQUATIONS hpr 7 INTERAL EQUATIONS hpr 7 Igrl Eqios 7. Normd Vcor Spcs. Eclidi vcor spc. Vcor spc o coios cios ( ) 3. Vcor Spc L ( ) 4. chy-byowsi iqliy 5. iowsi iqliy 7. Lir Oprors - coios

More information

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals Rviw opics from Chapr 3&4 Fourir Sris Fourir rasform Liar im Ivaria (LI) Sysms Ergy-yp Sigals Powr-yp Sigals Fourir Sris Rprsaio for Priodic Sigals Dfiiio: L h sigal () b a priodic sigal wih priod. ()

More information

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

LaPlace Transform in Circuit Analysis

LaPlace Transform in Circuit Analysis LaPlac Tranform in Circui Analyi Obciv: Calcula h Laplac ranform of common funcion uing h dfiniion and h Laplac ranform abl Laplac-ranform a circui, including componn wih non-zro iniial condiion. Analyz

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

The Impact of Separate Processes on Asset Pricing

The Impact of Separate Processes on Asset Pricing Th Impac o Spara Procsss o Ass Pricig DECISION SCIENCES INSTITUTE Th impac o spara procsss o aggrga dividds ad cosumpio o ass pricig wih a ails (Full Papr Submissio) Jacky So Uivrsiy o Macau Uivrsiy o

More information

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1 8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl

More information

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H.

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H. Joral of Scic Ilaic Rpblic of Ira 5(: -9 ( Uirity of Thra ISSN 6- Th Ayptotic For of Eigal for a Cla of Str-Lioill Probl with O Sipl Trig Poit A. Jodayr Abarfa * ad H. Khiri Faclty of Mathatical Scic Tabriz

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

Mathematical Preliminaries for Transforms, Subbands, and Wavelets

Mathematical Preliminaries for Transforms, Subbands, and Wavelets Mahmaical Prlimiaris for rasforms, Subbads, ad Wavls C.M. Liu Prcpual Sigal Procssig Lab Collg of Compur Scic Naioal Chiao-ug Uivrsiy hp://www.csi.cu.du.w/~cmliu/courss/comprssio/ Offic: EC538 (03)5731877

More information

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system: Undrdamd Sysms Undrdamd Sysms nd Ordr Sysms Ouu modld wih a nd ordr ODE: d y dy a a1 a0 y b f If a 0 0, hn: whr: a d y a1 dy b d y dy y f y f a a a 0 0 0 is h naural riod of oscillaion. is h daming facor.

More information

International Journal of Modern Mathematical Sciences, 2013, 5(3): International Journal of Modern Mathematical Sciences

International Journal of Modern Mathematical Sciences, 2013, 5(3): International Journal of Modern Mathematical Sciences Iraioal Joral of Mor Mahmaical Scic - Iraioal Joral of Mor Mahmaical Scic Joral hompagwwwmorsciificprcom/joral/ijmmap ISSN -X Floria USA Aricl Compario of Lagrag Mliplir for Noliar BVP Aif Mhmoo Farah

More information

Green's Functions at Zero Temperature

Green's Functions at Zero Temperature MPP Cap Bo E Srliu MPP Cap Bo E Srliu Capr Gr' Fucio a Zro Tmpraur Wic i low iic mpraur vr acivd i a laboraory? Awr: 5m K wa acivd i 988 by a group a Ecol Normal Supériur: A Apc, E Arimodo, R Kair, N Vai,

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

UNIT III STANDARD DISTRIBUTIONS

UNIT III STANDARD DISTRIBUTIONS UNIT III STANDARD DISTRIBUTIONS Biomial, Poisso, Normal, Gomric, Uiform, Eoial, Gamma disribuios ad hir roris. Prard by Dr. V. Valliammal Ngaiv biomial disribuios Prard by Dr.A.R.VIJAYALAKSHMI Sadard Disribuios

More information

Applications of semi-markov processes in reliability

Applications of semi-markov processes in reliability rbk Alco o m-mrko roc rlbl - TA # 3-4 7 Dcmbr - Scl I rbk rczk Nl Ur d old Alco o m-mrko roc rlbl Kword m-mrko roc rlbl rdom lr r cold db m wh rr Abrc Th bc do d horm rom h m-mrko roc hor r dcd h r Th

More information

The geometry of surfaces contact

The geometry of surfaces contact Applid ad ompuaioal Mchaics (007 647-656 h gomry of surfacs coac J. Sigl a * J. Švíglr a a Faculy of Applid Scics UWB i Pils Uivrzií 0 00 Pils zch public civd 0 Spmbr 007; rcivd i rvisd form 0 Ocobr 007

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

Review - Week 10. There are two types of errors one can make when performing significance tests:

Review - Week 10. There are two types of errors one can make when performing significance tests: Review - Week Read: Chaper -3 Review: There are wo ype of error oe ca make whe performig igificace e: Type I error The ull hypohei i rue, bu we miakely rejec i (Fale poiive) Type II error The ull hypohei

More information

1.7 Vector Calculus 2 - Integration

1.7 Vector Calculus 2 - Integration cio.7.7 cor alculus - Igraio.7. Ordiary Igrals o a cor A vcor ca b igrad i h ordiary way o roduc aohr vcor or aml 5 5 d 6.7. Li Igrals Discussd hr is h oio o a dii igral ivolvig a vcor ucio ha gras a scalar.

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

NAME: SOLUTIONS EEE 203 HW 1

NAME: SOLUTIONS EEE 203 HW 1 NAME: SOLUIONS EEE W Problm. Cosir sigal os grap is so blo. Sc folloig sigals: -, -, R, r R os rflcio opraio a os sif la opraio b. - - R - Problm. Dscrib folloig sigals i rms of lmar fcios,,r, a comp a.

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information