Exponentiated Weibull-Exponential Distribution with Applications

Size: px
Start display at page:

Download "Exponentiated Weibull-Exponential Distribution with Applications"

Transcription

1 Avlbl t Appl Appl Mth ISSN: Vol, Issu (Dcmb 07), pp Applctos d Appld Mthmtcs: A Ittol Joul (AAM) Epottd Wbull-Epotl Dstbuto wth Applctos M Elghy, M Shkl d BM Golm Kb 3 Abstct Gdut Studs d Sctfc Rsch Jddh Uvsty Jddh, Kgdom of Sud Ab m_lghy85@yhoocom Dptmt of Mthmtcs Mm Dd Collg Hlh, FL 330, USA mshkl@mdcdu 3 Dptmt of Mthmtcs d Sttstcs Flod Ittol Uvsty Mm, FL 3399, USA kbg@fudu Rcvd: Dcmb 3, 06; Accptd: Ju 9, 07 I ths tcl, w fou-pmt cotuous modl, clld th pottd Wbull potl dstbuto, s toducd bsd o pottd Wbull-G fmly (Hss d Elghy, 06) Th w modl cots som w dstbutos s wll s som fom dstbutos Vous mthmtcl popts of ths dstbuto studd Gl plct pssos fo th qutl fucto, pso of dstbuto d dsty fuctos, momts, gtg fucto, Réy d q tops, d od sttstcs obtd Th stmto of th modl pmts s dscussd usg mmum lklhood mthod Th pctcl mpotc of th w dstbuto s dmosttd though l dt st wh w comp t wth svl lftm dstbutos Kywods: Etopy; Epotl dstbuto; Epottd Wbull-G fmly of dstbutos; Momts; Od sttstcs; Mmum lklhood stmto MSC 00 No: 6E5, 6E99 70

2 AAM: It J, Vol, Issu (Dcmb 07) 7 Itoducto I th lst fw ys, w gtd fmls of cotuous dstbutos hv ttctd svl sttstcs to dvlop w modls Ths fmls obtd by toducg o o mo ddtol shp pmt(s) to th bsl dstbuto Som of th gtd fmls : th bt-g (Eug t l, 00; Jos, 004), gmm-g (typ ) ( Zogfos d Blksh, 009), Kumswmy-G (Kw-G; Codo d d Csto, 0), McDold-G (Mc-G; Ald t l, 0), gmm-g (typ ) (Rst c d Blksh, 0), tsfomdtsfom (T-X; Alzth t l, 03), Wbull-G (Bougugo t l (04), Kumswmy odd log-logstc by Alzdh t l (05), typ hlf-logstc fmly of dstbutos by Codo t l (06), Kumswmy Wbull-G by Hss d Elghy (06), ddtv Wbull-G by Hss d Sd (06) mog oths Ghy gtd fmly of dstbutos toducd by Elghy t l (06), Hss t l (07) toducd typ II hlf logstc G Hss d Elghy (06b) toducd w fmly clld pottd Wbull-gtd (EW-G) Th cumultv dstbuto fucto (cdf ) of pottd Wbull-gtd fmly s gv by G ( ) F( ) p [ ] ; 0 ;,, 0, G ( ) () wh, 0 th two shp pmts d 0 s th scl pmt Th cdf () povds wd fmly of cotuous dstbutos Th pobblty dsty fucto (pdf) cospodg to () s gv by wh 0,,, 0 G( ) [ ] G( ) ( G( )) g( ) G( ) f ( ) p [ ], G ( ) G ( ) I ths pp, w toduc w fou-pmt modl s compttv tso fo th Wbull dstbuto usg th EW-G dstbuto Th w modl tds som ct dstbutos d povds som w dstbutos Th st of th pp s outld s follows I Scto, w df th pottd Wbull potl ( EWE ) dstbuto d povd som spcl modls I Scto 3, w dv vy usful pstto fo th EWE dsty d dstbuto fuctos I th sm scto w dv, som gl mthmtcl popts of th poposd dstbuto Th mmum lklhood mthod s ppld to dv th stmts of th modl pmts Scto 4 Scto 5 gvs umcl mpl to pl how l dt st c b modld by EWE d ths pp ds wth som coclusos Scto 6 () Th Epottd Wbull Epotl Dstbuto I ths scto, th fou-pmt EWE dstbuto s obtd bsd o th EW-G fmly

3 7 B M Golm Kb t l Lt th dom vbl X follow th followg potl dstbuto wth scl pmt, g( ; ) ;, 0 0 Th cdf of potl dstbuto s gv by (3) G( ; ) (4) Substutg fom pdf (3) d cdf (4) to cdf (), th th cdf of pottd Wbull EWE,,,, tks th followg fom potl dstbuto, F( ; ) p( ( ) ) ;,,, 0, 0, (5) wh, (,,, ) s th st of pmts Istg th pdf (3) d cdf (4) to (), th th pdf of EWE tks th followg fom ( ; ) [ ] p[ { ( ) }] p( ( ) ) f (6) Th pdf (6) cots som w dstbutos s wll s som cut dstbutos Tbl lsts th spcl sub-modls of th EWE dstbuto (6) Tbl Spcl sub modls of th pottd Wbull potl dstbuto Modl Dstbuto fucto Rfcs Epottd Epotl F ( ) p( ( )) w potl (EEE) Epottd Rylgh potl ( ) p( ( ) ) F w (ERE) 3 Wbull potl (WE) 4 Epotl F ( ) p( ( ) ) Ogutud t - - F ( ) p( ( )) w l (05) potl (EE) 5 Rylgh Epotl (RE) - - F ( ) p( ( ) ) w

4 AAM: It J, Vol, Issu (Dcmb 07) 73 Th suvvl fucto, hzd t fucto, vsd-hzd t fucto d cumultv hzd t fucto of EWE, spctvly, gv by d R( ; ) p( ( ), [ ] p[ { ( ) }] p( ( ) h ( ; ), p( ( ) [ ] p[ { ( ) }] ( ; ), p( ( ) ) H( ; ) l R( ; ) l p( ) Plots of th cdf, pdf, suvvl fucto, hzd t fucto, d vsd hzd t fucto of EWE dstbuto fo som pmt vlus dsplyd Fgus,, 3, 4, d 5 spctvly Fgu Plots of th cdf of th EWE dstbuto fo som pmt vlus Fom Fgu t pps tht th poposd dstbuto s skwd to th ght Thus, t mght b usful to modl som lf tstg dt

5 74 B M Golm Kb t l Fgu Plots of th pdf of th EWE dstbuto fo som pmt vlus Fgu 3 Plots of th suvvl fucto of th EWE dstbuto fo som pmt vlus

6 AAM: It J, Vol, Issu (Dcmb 07) 75 Fgu 4 Plots of th hzd t of th EWE dstbuto fo som pmt vlus Fgu 5 Plots of th vsd hzd t fucto of th EWE dstbuto fo som pmt vlus 3 Sttstcl Popts I ths scto som sttstcl popts of th EWE dstbuto dscussd 3 Usful Epsos I ths subscto psttos of th pdf d cdf fo pottd Wbull potl dstbuto dvd

7 76 B M Golm Kb t l Usg th glzd boml thom, wh 0 s l o tg d z, z ( ) z 0 (7) Th, by pplyg th boml thom (7) (6), th dstbuto fucto of EWE dstbuto wh s l d postv bcoms f j j ( ) ( ) ( ) (8) j0 j By usg th pow ss fo th potl fucto, w obt Usg Equto (9), Equto (8) bcoms, ( j)[ ] k k k ( ) ( j) k0 k! [ ] k (9) ( ) ( j) f jk k k ( k) ( ) [ ], jk, 0 k! j Th bov quto c lso b wtt s, ( ) ( j) ( k ) m f j, k, m0 k! j m jk k k m( k) ( ) [ ] Usg th boml thom, th bov quto combto of potl dstbut,, wh j, k, m, f ( ) ( ) j, k, m,, j, k, m, 0 c b pssd s ft l (0) k jk k ( ) ( j) ( k ) m m k k! j m Now, w pss th cumultv dsty fucto s ft l combto of potl dstbuto Sc,

8 AAM: It J, Vol, Issu (Dcmb 07) 77 th, ( ) h h [ F( )] [ ], p( ) h ph [ F( )] ( ) p0 p Now, usg th pow ss fo th potl fucto th bov quto, w obt pq q h ( ) ( p) h q [ F( )] [ ], pq, 0 q! p whch c lso b wtt s, [ F( )] h ( ) ( p) h pq q p q q p! ( ), 0 q By usg th boml pso, th bov quto c b wtt s pq q h ( ) ( p) h q t qt [ F( )] [ ] p, q, t0 q! p t Th, wh, h [ F( )] p, q, t,, p, q, t, () p, q, t, 0 pq q ( ) ( p) h q t q t q! p t 3 Qutl d Md Th qutl fucto, sy Q( u) F ( u) of X c b obtd by vtg (5) s follows u Q( u) ( p( ( ) )) Aft som smplfctos, t ducs to Q( u) l (l( u ) ), ()

9 78 B M Golm Kb t l wh, u s ufom dom vbl o th ut tvl b dvd fom () by sttg 33 Momts u 05 0, Tht s, th md s gv by Md Qu ( ) l (l( 05 ) ) I ptcul, th md c Ths subscto povds th momt d momt gtg fucto of EWE dstbuto Momts mpott y sttstcl lyss, spclly pplctos It c b usd to study th most mpott ftus d chctstcs of dstbuto (g tdcy, dspso, skwss d kutoss) If X hs th pdf (6), th ts th momt c b obtd though th followg lto E f d (X ) ( ; ) (3) Substtutg (0) to (3) ylds: Lt y ( ) Th, ( l ) ( X ) j, k, m, l d 0 j, k, m, l ' E bcoms ( ), j, k, m, (4) j, k, m, 0 ( ) Wh k jk k ( ) ( j) ( k ) m m k j, k, m, k! j m d () s gmm fucto Bsd o th fst fou momts of th EWE dstbuto, th msus of skwss A () d kutoss k () of th EWE dstbuto c b obtd s d ( ) 3 ( ) ( ) ( ) A( ), ( ) ( )

10 AAM: It J, Vol, Issu (Dcmb 07) 79 ( ) 4 ( ) ( ) 6 ( ) ( ) 3 ( ) k( ) ( ) ( ) Glly, th momt gtg fucto of followg lto EWE dstbuto s obtd though th 34 Réy d q Etops t t ( ) M X t E X!! ( ) j, k, m, (5), j, k, m, 0 ( ) ( ) 0 Th topy of dom vbl X s msu of vto of uctty d hs b usd my flds such s physcs, gg d coomcs Accodg to Réy (96), th Réy topy s dfd by I ( X ) log f ( ; ) d, 0 d By pplyg th boml thom (7) th pdf (6), th pdf f ( ; ) follows wh f W ( ) ( ; ) j, k, m,, j, k, m, 0 c b pssd s W j, k, m, k jk ( ) ( j ) k k! k m k m j m Thfo, th Réy topy of EWE dstbuto s gv by d th, Th q- topy s dfd by I X W d ( ) ( ) log j, k, m,, j, k, m, 0 0 I Wj, k, m, j, k, m, 0 ( ) ( X) log

11 70 B M Golm Kb t l q Hq( X ) log f ( ; ) d, q 0 d q q Thfo, th q- topy of EWE dstbuto s gv by H q W q ( ) j, k, m, j, k, m, 0 (6) ( X) log Fo mo o dfft kds of tops w f ou ds to Ahsullh t l (04) mog oths 35 Od Sttstcs Lt X : X : X : b th od sttstcs of dom smpl of sz followg th pottd Wbull potl dstbuto, wth pmts, d Th th pdf of th kth od sttstc (Dvd, (98)), c b wtt s follows, f( ( )) k k k f X ( ( ) ( )) ( ( )), k k F k B( k, k ) v0 v v vk (7) wh, B (,) s th bt fucto By substtutg (0) d () (7), d plcg h wth v k, lds to f X( k ) k * ( k) t( k ) ( ( k) ), (8) B( k, k ) v0 j, k, 0 q, t, 0 wh k v v j, k, q, t, * Momts of od sttstcs s gv by: Substtutg (8) (9 ), lds to Th, ( k ) ( k ) ( k ) ( k ) E(X ) f ( ) d (9) k ( k) t ( k) ( k) ( k) B( k, k ) v j, k, 0 q, t, 0 E d * ( k ) (X ) 0 0

12 AAM: It J, Vol, Issu (Dcmb 07) 7 k * ( ) E(X ( k )) B( k, k ) v0 j, k, 0 q, t, 0 ( k) t 4 Mmum Lklhood Estmto Th mmum lklhood stmts (MLEs) of th ukow pmts fo th pottd Wbull potl dstbuto dtmd bsd o complt smpls Lt b obsvd vlus fom th log-lklhood fucto fo th vcto of pmts EWE dstbuto wth st of pmts (,,, ) c b pssd s l L( ) l l l l ( ) l ( ) l X,, X T Th totl Th lmts of th sco fucto U( ) ( U, U, U, U ) gv by U l, (0) ( ), () U d U l l ( ) l, () U ( ) ( ) ( ) ( ) ( ) ( ) (3)

13 7 B M Golm Kb t l Th, th mmum lklhood stmts of th pmts, α, β d λ obtd by solvg th mmum lklhood Equtos (0-3) d pplyg th Nwto-Rphso s tto mthod d usg th comput pckg such s Mpl o R o oth softw 5 Dt Alyss I ths scto, o l dt st lyzd to llustt th mt of EWE dstbuto comp to som sub-modls; mly, Wbull potl (WE), potl potl (EE), d Rylgh potl (RE) dstbutos W obt th MLE d th cospodg stdd os ( pthss) of th modl pmts To comp th pfomc of dfft dstbuto modls, w cosd ct lk mus of log-lklhood fucto Kolmogoov-Smov ( K S) sttstc, Akk fomto cto ( AIC ), th coct Akk fomto cto ( CAIC ), Bys fomto cto ( BIC ) d p-vlu Howv, th btt dstbuto cospods to th smll vlus of ct d bggst p-vlu Futhmo, w plot th hstogm fo ch dt st d th stmtd pdf of th EWE, WE, EE d RE modls Moov, th plots of mpcl cdf of th dt sts d stmtd pdf of EWE, WE, EE d RE modls dsplyd Fgus 5 d 5, spctvly l L, AIC, ( l L), BIC, CAIC,, HQIC K S Th dt hv b obtd fom Bjkdl (960) d pst th suvvl tms ( dys) of 7 gu pgs fctd wth vult tubcl bcll Th dt st s follows: 0, 033, 044, 056, 059, 07, 074, 077, 09, 093, 096,,, 0, 05, 07, 07, 08, 08, 08, 09,, 3, 5, 6,,,,, 4, 3, 34, 36, 39, 44, 46, 53, 59, 6, 63, 63, 68, 7, 7, 76, 83, 95, 96, 97, 0, 3, 5, 6,, 3, 3, 4, 45, 5, 53, 54, 54, 78, 93, 37, 34, 347, 36, 40, 43, 458, 555 Tbl 5 gvs MLEs of pmts d th stdd o (SE) of th EWE dstbuto Th vlus of th log-lklhood fuctos, AIC, CAIC, BIC, HQIC, K-S d p-vlu pstd Tbl 5 Tbl 5 Th MLEs d SE of th modl pmts MLEs S E Mod â ˆ ˆ ˆ SE( â ) SE( l ˆ ) SE( ˆ ) SE( ˆ ) EWE WE EE RE

14 AAM: It J, Vol, Issu (Dcmb 07) 73 Tbl 5 Th vlus of -LL, AIC, BIC, CAIC, HQIC, K-S d p-vlu fo th thd dt st Dstbut - o LL EWE 70 4 WE EE RE AIC CAIC BIC HQIC K-S p- vlu W fd tht th EWE dstbuto wth fou pmts povds btt ft th th spcl sub-modls It hs th smllst K-S, AIC, CAIC, BIC d HQIC vlus mog thos cosdd h Plots of th fttd dsts d th hstogm gv Fgus 5 d 5, spctvly Fgu 5 Estmtd cumultv dsts of th Fgu 5 Estmtd dsts of th modls modls fo dt st fo dt st 6 Cocluso I ths pp, w hv toducd w fou-pmt pottd Wbull potl dstbuto d studd ts dfft sttstcl popts It s otd tht th poposd EWE dstbuto hs svl dsbl popts Th EWE dstbuto covs som stg dstbutos d cots som w dstbutos Th pctcl mpotc of th w dstbuto ws dmosttd pplcto wh th EWE dstbuto povdd btt fttg

15 74 B M Golm Kb t l compso to svl oth fom lftm dstbutos Applctos showd tht th EWE modls c b usd std of oth kow dstbutos Ackowldgmt: Th uthos thkful to th Edto--Chf d th oymous fs fo th vlubl commts d suggstos, whch ctly mpovd th qulty d psttos of th pp gtly Autho, B M Golm Kb ddctd ths pp to ll who scfcd thmslvs dug th lgug voluto of Fbuy, 95 so tht w c spk Bgl (Bgl), my lgug Bgldsh ow REFERENCES Ahsullh, M, Kb, B M G, d Shkl, M (04) Noml d Studt s t Dstbutos d Th Applctos Atlts Pss, Ps, Fc Ald, C, Codo, GM, Otg, EMM, Sb, JM (0) Glzd bt gtd dstbutos Computtol Sttstcs d Dt Alyss 56: Alzdh, M, Emd, M, Doostpst, M, Codo, GM, Otg, EMM, Pscm, RR (05) Kumswmy odd log-logstc fmly of dstbutos: Popts d pplctos Hcttp Uvsty Bullt of Ntul Sccs d Egg Ss B: Mthmtcs d Sttstcs Fothcomg, vlbl t DOI: 0567/HJMS Alzth, A, L, C d Fmoy, F (03) A w mthod fo gtg fmls of cotuous dstbutos Mto, 7 (), Bjkdl, T (960) Acqusto of sstc Gu Ps fctd wth dfft doss of Vult Tubcl Bcll Amc Joul of Hyg, 7, Bougugo, M, Slv, RB, Codo, GM (04) Th Wbull G fmly of pobblty dstbutos Joul of Dt Scc,, Codo GM d d Csto M (0) A w fmly of glzd dstbutos Joul of Sttstcl Computto d Smulto, 8: Codo, G M, Alzdh, M d Dz, P R (06) Th typ I hlf-logstc fmly of dstbutos Joul of Sttstcl Computto d Smulto, 86 (4), Dvd, HA (98) Od sttstcs Scod dto, Wly, Nw Yok Elghy, M, Hss, AS d Rshd, M (06) Ghy Gtd Fmly of Dstbutos wth Applcto, Mthmtcl Thoy d Modlg,6,-5 Eug, N, L C, Fmoy, F (00) Bt-oml dstbuto d ts pplctos, Commucto Sttstcs Thoy Mthods, 3, Gwood, JA, Ldwh, JM, d NC Mtls, (979) Pobblty wghtd momts: Dftos d ltos of pmts of svl dstbutos pssbl vs fom Wt Rsoucs Rsch, 5, Gupt, RC (975) O chctzto of dstbutos by codtol pcttos Commuctos Sttstcs- Thoy d Mthods, 4, Hss, A S d Elghy, M, (06 ) Kumswmy Wbull-gtd fmly of dstbutos wth pplctos Advcs d Applctos Sttstcs, 48, 05-39

16 AAM: It J, Vol, Issu (Dcmb 07) 75 Hss, A S d Elghy, M (06 b) A Nw Fmly of Epottd Wbull-Gtd Dstbutos Ittol Joul of Mthmtcs Ad ts Applctos, 4, Hss, A S, Elghy, M d Shkl, M (07) Typ II Hlf Logstc Fmly of Dstbutos wth Applctos Pkst Joul of Sttstcs d Opto Rsch, 3, Hss, A S, d Hmd, S E (06) Th ddtv Wbull-g fmly of pobblty dstbutos Ittol Jouls of Mthmtcs d Its Applctos, 4, 5-64 Jos MC (004) Fmls of dstbutos sg fom th dstbutos of od sttstcs Tst 3, -43 Klb, C (999) O Loz Od wth Pmtc Fmls of Icom Dstbutos Skhy, B, 6,54-57 Kotz, S, d Shbhg, D N (980) Som w ppochs to pobblty dstbutos Adv Appl Pob,, Movc, F d Elbtl, I (05), Wbull Rylgh dstbuto: Thoy d Applctos Appld Mthmtcs & Ifomto Sccs, 5(9), - Nvo, J Fco, M, d Ruz, J M (998) Chctzto though momts of th sdul lf d codtol spcg Skhy, 60, Ss A, Ogutud, PE, Blogu, OS, Okgbu, HI d Bshop, SA (05) Th Wbull- Epotl Dstbuto: Its Popts d Applctos Joul of Appld Sccs,5,305-3 Ry A(96) O msus of topy d fomto I: Pocdgs of th 4 th Fouth Bkly Symposum o Mthmtcl Sttstcs d Pobblty, Uvsty of Clfo Pss, Bkly Rst c, MM, Blksh, N (0) Th gmm-pottd potl dstbuto Joul of Sttstcl Computto d Smulto, 8,9 06 Zg, M, (007) Iqulty cuv d qulty d bsd o th tos btw low d upp thmtc ms Sttstc Applczo 4, 3 7 Zogfos, K, Blksh, N (009) O fmls of bt- d glzd gmm-gtd dstbutos d ssoctd fc Sttstcl Mthodology, 6, Zoo, P, Ruz, J M, & M, J (990) A chctzto bsd o codtol pcttos Commuctos Sttstcs-Thoy Mthods, 9,

THE EXPONENTIATED GENERALIZED FLEXIBLE WEIBULL EXTENSION DISTRIBUTION

THE EXPONENTIATED GENERALIZED FLEXIBLE WEIBULL EXTENSION DISTRIBUTION Fudmtl Joul of Mthmtcs d Mthmtcl Sccs Vol. 6 Issu 6 Pgs 75-98 Ths pp s vll ol t http://www.fdt.com/ Pulshd ol Octo 6 THE EXPONENTIATED GENERAIZED FEXIBE WEIBU EXTENSION DISTRIBUTION ABDEFATTAH MUSTAFA

More information

IFYFM002 Further Maths Appendix C Formula Booklet

IFYFM002 Further Maths Appendix C Formula Booklet Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,

More information

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.

More information

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd

More information

A NEW GENERALIZATION OF THE EXPONENTIAL-GEOMETRIC DISTRIBUTION

A NEW GENERALIZATION OF THE EXPONENTIAL-GEOMETRIC DISTRIBUTION Jou of Sttstcs: Advcs Thoy d Actos Voum 7 Num Pgs 5-48 A NW GNRAIZATION OF TH PONNTIA-GOMTRIC DISTRIBUTION M. NASSAR d N. NADA Dtmt of Mthmtcs Fcuty of Scc A Shms Uvsty Ass Co 566 gyt -m: m_ss_999@yhoo.com

More information

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst

More information

Statistical properties and applications of a Weibull- Kumaraswamy distribution

Statistical properties and applications of a Weibull- Kumaraswamy distribution Itrtol Jourl of Sttstcs d Appld Mthmtcs 208; 3(6): 8090 ISSN: 2456452 Mths 208; 3(6): 8090 208 Stts & Mths www.mthsjourl.com Rcvd: 09208 Accptd: 20208 Amu M Dprtmt Mths d Sttstcs, Aukr Ttr Al Polytchc,

More information

New bounds on Poisson approximation to the distribution of a sum of negative binomial random variables

New bounds on Poisson approximation to the distribution of a sum of negative binomial random variables Sogklaaka J. Sc. Tchol. 4 () 4-48 Ma. -. 8 Ogal tcl Nw bouds o Posso aomato to th dstbuto of a sum of gatv bomal adom vaabls * Kat Taabola Datmt of Mathmatcs Faculty of Scc Buaha Uvsty Muag Chobu 3 Thalad

More information

A note on Kumaraswamy Fréchet distribution

A note on Kumaraswamy Fréchet distribution AENSI Jourls Austrl Jourl of Bsc d Appld Sccs ISSN:99-878 Jourl hom pg: wwwswcom A ot o Kumrswmy Frécht dstruto Md M E d 2 Ad-Eltw A R Dprtmt of Sttstcs Fculty of Commrc Zgzg Uvrsty Egypt 2 School of Busss

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca** ERDO-MARANDACHE NUMBER b Tbrc* Tt Tbrc** *Trslv Uvrsty of Brsov, Computr cc Dprtmt **Uvrsty of Mchstr, Computr cc Dprtmt Th strtg pot of ths rtcl s rprstd by rct work of Fch []. Bsd o two symptotc rsults

More information

The Odd Generalized Exponential Modified. Weibull Distribution

The Odd Generalized Exponential Modified. Weibull Distribution Itatoal Mathmatcal oum Vol. 6 o. 9 943-959 HIKARI td www.m-ha.com http://d.do.og/.988/m.6.6793 Th Odd Galzd Epotal Modd Wbull Dstbuto Yassm Y. Abdlall Dpatmt o Mathmatcal Statstcs Isttut o Statstcal Studs

More information

A new generalized Lindley distribution

A new generalized Lindley distribution Mhcl Thoy d Modl ISSN 4584 Pp ISSN 55 Ol ol3 No3 3 wwwso Asc A w lzd dly dsuo Ih Ell o Movc * M Elhy 3 Isu o Sscl Suds d Rsch Dpo Mhcl Sscs Co Uvsy Dp o Mhcs Uvsy o Psh "Hs Psh" Rpulc o Kosovo 3 Isu o

More information

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution ttol Jol of Ss: Bs Al Rsh JSBAR SSN 37-453 Pt & Ol htt://gss.og/.h?joljolofbsaal ---------------------------------------------------------------------------------------------------------------------------

More information

Transmuted Generalized Lindley Distribution

Transmuted Generalized Lindley Distribution Itetol Joul of Memtcs Teds d Techology- olume9 Numbe Juy 06 Tsmuted Geelzed Ldley Dstbuto M. Elghy, M.Rshed d A.W.Shwk 3, Buydh colleges, Deptmet of Memtcl Sttstcs, KSA.,, 3 Isttute of Sttstcl Studes d

More information

D. Bertsekas and R. Gallager, "Data networks." Q: What are the labels for the x-axis and y-axis of Fig. 4.2?

D. Bertsekas and R. Gallager, Data networks. Q: What are the labels for the x-axis and y-axis of Fig. 4.2? pd by J. Succ ECE 543 Octob 22 2002 Outl Slottd Aloh Dft Stblzd Slottd Aloh Uslottd Aloh Splttg Algoths Rfc D. Btsks d R. llg "Dt twoks." Rvw (Slottd Aloh): : Wht th lbls fo th x-xs d y-xs of Fg. 4.2?

More information

MULTI-PRODUCT INVENTORY CONTROL MODEL WITH CONSTRAINTS

MULTI-PRODUCT INVENTORY CONTROL MODEL WITH CONSTRAINTS spot d lcommucto Vol.7, No, 6 MUIRDU INVNRY NR MD WIH NSRAINS ug Kopytov, Fdo ss, od Gglz spot d lcommucto Isttut omoosov St., Rg, V9, tv h: 37 759. Fx: 37 766. ml: optov@ts.lv, fdotss@ts.lv Rg Ittol School

More information

University of Bucharest Doctoral School of Mathematics. Phd thesis Summary

University of Bucharest Doctoral School of Mathematics. Phd thesis Summary Uvsty of uchst Doctol School of Mthmtcs Phd thss Summy A w clss of ty dly dstutos. Modl sttstcl fc d lctos Phd studt M C Ţucul Dcou Sctfc coodto Pof. D. Vsl Pd uchst 5 Cotts. Itoducto. Motvto..4. Thm ctulty..4.3

More information

EQUATIONS FOR ALLUVIAL SOIL STORAGE COEFFICIENTS

EQUATIONS FOR ALLUVIAL SOIL STORAGE COEFFICIENTS vomtl gg d gmt Joul Novmb/Dcmb 8, Vol.7, No.6, 89-83 http://omco.ch.tu.o/j/ Ghogh Ach Tchcl Uvty of I, Rom QUATION FOR ALLUVIAL OIL TORAG COFFICINT mld Chocu, Ştf Popcu, Dl Tom Agoomc Uvty of I, Pdologcl

More information

A New Generalization of Quadratic Hazard Rate Distribution

A New Generalization of Quadratic Hazard Rate Distribution A Nw Gnlzton of Qudtc Hzd Rt Dstuton Ihm Eltl Insttut of Sttstcl Studs nd Rsch Dptmnt of Mthmtcl Sttstcs, Co Unvsty _ltl@stff.cu.du.g Ndm Shfqu Butt COMSATS Insttut of Infomton Tchnology, Lho ndmshfqu@ctlho.du.pk

More information

Exp-Kumaraswamy Distributions: Some Properties and Applications

Exp-Kumaraswamy Distributions: Some Properties and Applications Joul of Sccs, Islmc Rpulc of I 26: 57-69 25 Uvsy of Th, ISSN 6-4 hp://sccs.u.c. Ep-Kumswmy Dsuos: Som Pops d Applcos Z. Jvsh, A. H Rd *, d N.R. Aghm Dpm of Sscs, Fculy of Mhmcl Sccs, Fdows Uvsy of Mshhd,

More information

U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 3, 2016 ISSN A LINKAGE. Tariq SHAH, 1, Asma SHAHEEN 2

U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 3, 2016 ISSN A LINKAGE. Tariq SHAH, 1, Asma SHAHEEN 2 UPB Sc Bll Ss Vol 78 Iss ISS -77 YLI ODES S IDELS I [ ; [ D [ ; : LIKE Tq S sm SEE Rdom o coctg cods ot ffct fo coctg st os; thfo t s qd to dsg spclzd cods whch c coct st os I ths stdy costcto tchq of

More information

Coordinate Transformations

Coordinate Transformations Coll of E Copt Scc Mchcl E Dptt Nots o E lss Rvs pl 6, Istcto: L Ctto Coot Tsfotos Itocto W wt to c ot o lss lttv coot ssts. Most stts hv lt wth pol sphcl coot ssts. I ths ots, w wt to t ths oto of fft

More information

Ekpenyong Emmanuel John and Gideon Sunday N. x (2.1) International Journal of Statistics and Applied Mathematics 2018; 3(4): 60-64

Ekpenyong Emmanuel John and Gideon Sunday N. x (2.1) International Journal of Statistics and Applied Mathematics 2018; 3(4): 60-64 Itrtol Jourl of Sttstcs d Appld Mtmtcs 8; 34 6-64 ISSN 456-45 Mts 8; 34 6-64 8 Stts & Mts www.mtsjourl.com Rcvd 8-5-8 Accptd 9-6-8 Ekpyo Emmul Jo Dprtmt of Sttstcs Mcl Okpr Uvrsty of Arcultur Umudk Nr

More information

Bayesian Approach to Generalized Normal Distribution under Non- Informative and Informative Priors

Bayesian Approach to Generalized Normal Distribution under Non- Informative and Informative Priors I.J. Mtmtc Sccs d Comutg 8 9- Pusd O Novm 8 MCS (tt://www.mcs-ss.t) DOI:.585/jmsc.8.. Av o t tt://www.mcs-ss.t/jmsc Bys Aoc to Gd Nom Dstuto ud No- Ifomtv d Ifomtv Pos Sm Nqs * S.P.Amd Aqu Amd Dtmt of

More information

On the Development of an Exponentiated F Test for One-way ANOVA in the Presence of Outlier(s)

On the Development of an Exponentiated F Test for One-way ANOVA in the Presence of Outlier(s) Mthmtcs d ttstcs 4: 6-69 06 DOI: 0.389/ms.06.04003 http://www.hpu.og O th Dvlopmt of Epottd Tst fo O-wy ANOA th sc of Outls Adpou K.A * httu O.I huwu A.U Dptmt of ttstcs Uvsty of Id Ng opyght 06 y uthos

More information

A NEW GENERALIZATION OF KUMARASWAMY LINDLEY DISTRIBUTION

A NEW GENERALIZATION OF KUMARASWAMY LINDLEY DISTRIBUTION ou of Sttt: dv Thoy d ppto Vou 4 Nu 5 Pg 69-5 v t http://tfdv.o. DOI: http://d.do.og/.864/t_754 NW GNRLIZTION OF KUMRSWMY LINDLY DISTRIBUTION M. MHMOUD M. M. NSSR d M.. F Dptt of Mtht Futy of S Sh Uvty

More information

SIMULTANEOUS METHODS FOR FINDING ALL ZEROS OF A POLYNOMIAL

SIMULTANEOUS METHODS FOR FINDING ALL ZEROS OF A POLYNOMIAL Joual of athmatcal Sccs: Advacs ad Applcatos Volum, 05, ags 5-8 SIULTANEUS ETHDS FR FINDING ALL ZERS F A LYNIAL JUN-SE SNG ollg of dc Yos Uvsty Soul Rpublc of Koa -mal: usopsog@yos.ac. Abstact Th pupos

More information

2sin cos dx. 2sin sin dx

2sin cos dx. 2sin sin dx Fou S & Fou To Th udtl d tht y podc ucto (.. o tht pt t ptcul tvl) c b pd t u o d co wv o dt pltud d qucy. Th c b glzd to tgl (Th Fou To), whch h wd gg pplcto o th oluto o dtl quto whch occu th Phycl cc.

More information

Section 5.1/5.2: Areas and Distances the Definite Integral

Section 5.1/5.2: Areas and Distances the Definite Integral Scto./.: Ars d Dstcs th Dt Itgrl Sgm Notto Prctc HW rom Stwrt Ttook ot to hd p. #,, 9 p. 6 #,, 9- odd, - odd Th sum o trms,,, s wrtt s, whr th d o summto Empl : Fd th sum. Soluto: Th Dt Itgrl Suppos w

More information

International Journal of Advanced Scientific Research and Management, Volume 3 Issue 11, Nov

International Journal of Advanced Scientific Research and Management, Volume 3 Issue 11, Nov 199 Algothm ad Matlab Pogam fo Softwa Rlablty Gowth Modl Basd o Wbull Od Statstcs Dstbuto Akladswa Svasa Vswaatha 1 ad Saavth Rama 2 1 Mathmatcs, Saaatha Collg of Egg, Tchy, Taml Nadu, Ida Abstact I ths

More information

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS FORMULA BOOKLET Fom Septembe 07 Issued 07 Mesuto Pue Mthemtcs Sufce e of sphee = 4 Ae of cuved sufce of coe = slt heght Athmetc Sees S l d

More information

An inventory control model: Combining multi-objective programming and fuzzy-chance constrained programming

An inventory control model: Combining multi-objective programming and fuzzy-chance constrained programming fc Joul of Busss Mgmt Vol6 5, pp 9-94, 9 Dcmb, vlbl ol t ttp//wwwcdmcoulsog/jbm DOI 5897/JBM56 ISS 99-8 cdmc Jouls Full Lgt Rsc p vtoy cotol modl Combg mult-obctv pogmmg d fuzzy-cc costd pogmmg Mommd m

More information

More Statistics tutorial at 1. Introduction to mathematical Statistics

More Statistics tutorial at   1. Introduction to mathematical Statistics Mor Sttstcs tutorl t wwwdumblttldoctorcom Itroducto to mthmtcl Sttstcs Fl Soluto A Gllup survy portrys US trprurs s " th mvrcks, drmrs, d lors whos rough dgs d ucompromsg d to do t thr ow wy st thm shrp

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r. Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy. LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL

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 method of firefighters real-time locating based on RFID Xiaohui Zeng1, a, Jianhua Jiang2, bbaoyong Cheng3,c

The method of firefighters real-time locating based on RFID Xiaohui Zeng1, a, Jianhua Jiang2, bbaoyong Cheng3,c d Ittol Cof o Mh, Mtls d Ifomto holog ppltos ICMMI 05 h mthod of ffghts l-tm lotg sd o RFID Xohu Zg,, Jhu Jg, BoYog Chg, Ntol sttut of duto, NChg sttut of S & holog, NChg, 008, Ch Ntol sttut of duto, NChg

More information

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of Do Bgyoko () FOURIER SERIES I. INTRODUCTION Srs psos r ubqutous too o scc d grg. Th kds o pso to utz dpd o () th proprts o th uctos to b studd d (b) th proprts or chrctrstcs o th systm udr vstgto. Powr

More information

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.

More information

Get Funky this Christmas Season with the Crew from Chunky Custard

Get Funky this Christmas Season with the Crew from Chunky Custard Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos

More information

Convergence tests for the cluster DFT calculations

Convergence tests for the cluster DFT calculations Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h

More information

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues.

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues. UNIT L clb! Sud Bk pg W h w plc. l c h m c u chl g w m m l p p c p k 7 b 8 l y. L, chck d pc h dlgu. Rd d mch. c Wh yu bhdy? Wh d h flm? Wh p wuld yu lk? Hw much h dg? Wuld yu lk g h pk? D yu lk c? 7 Wh

More information

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd.

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd. GCE AS d A Level MATHEMATICS FORMULA BOOKLET Fom Septeme 07 Issued 07 Pue Mthemtcs Mesuto Suce e o sphee = 4 Ae o cuved suce o coe = heght slt Athmetc Sees S = + l = [ + d] Geometc Sees S = S = o < Summtos

More information

BEM with Linear Boundary Elements for Solving the Problem of the 3D Compressible Fluid Flow around Obstacles

BEM with Linear Boundary Elements for Solving the Problem of the 3D Compressible Fluid Flow around Obstacles EM wth L ou Elts o olvg th Pol o th D opssl Flu Flow ou Ostls Lut Gu o Vlsu stt hs pp psts soluto o th sgul ou tgl quto o th D opssl lu low ou ostl whh uss sopt l ou lts o Lgg tp. h sgul ou tgl quto oult

More information

School of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines

School of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines Ogs of Quatu Thoy Masuts of sso of lght (EM adato) fo (H) atos foud dsct ls 5 4 Abl to ft to followg ss psso ν R λ c λwavlgth, νfqucy, cspd lght RRydbg Costat (~09,7677.58c - ),,, +, +,..g.,,.6, 0.6, (Lya

More information

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud

More information

Elastic-Plastic Analysis of a Thin Rotating Disk of Exponentially Variable Thickness with Inclusion

Elastic-Plastic Analysis of a Thin Rotating Disk of Exponentially Variable Thickness with Inclusion WSS NSIONS o MHMIS Sjv Shm, Moj Sh, vd Kum lstc-plstc lyss o h ottg Ds o xpotlly Vl hcss wth Icluso SNJV SHM, MNOJ SHNI & VIND KUM 3, Dptmt o Mthmtcs, JII Dmd Uvsty, -, Scto 6, Nod-7, INDI 3 B.I.. xtso

More information

TABLES AND INFORMATION RETRIEVAL

TABLES AND INFORMATION RETRIEVAL Ch 9 TABLES AND INFORMATION RETRIEVAL 1. Id: Bkg h lg B 2. Rgl Ay 3. Tbl f V Sh 4. Tbl: A Nw Ab D Ty 5. Al: Rdx S 6. Hhg 7. Aly f Hhg 8. Cl: Cm f Mhd 9. Al: Th Lf Gm Rvd Ol D S d Pgm Dg I C++ T. 1, Ch

More information

Chapter 8: Propagating Quantum States of Radiation

Chapter 8: Propagating Quantum States of Radiation Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l

More information

Edge Product Cordial Labeling of Some Cycle Related Graphs

Edge Product Cordial Labeling of Some Cycle Related Graphs Op Joua o Dsct Mathmatcs, 6, 6, 68-78 http://.scp.o/joua/ojdm ISSN O: 6-7643 ISSN Pt: 6-7635 Ed Poduct Coda Lab o Som Cyc Ratd Gaphs Udaya M. Pajapat, Ntta B. Pat St. Xav s Co, Ahmdabad, Ida Shaksh Vaha

More information

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o: R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí

More information

Nonverbal Cues of Dominance Laura van Hooff, Jasmijn Verspaandonk, Nicole van den Reek, Guusje Nagels & Jalou Lemmens

Nonverbal Cues of Dominance Laura van Hooff, Jasmijn Verspaandonk, Nicole van den Reek, Guusje Nagels & Jalou Lemmens Nvbl C f Dm L v Hff, Jmj Vdk, Nl v d Rk, Gj Nl & Jl Lmm Ab Th m f h d w v h vbl x f dm b hm d whh h w dff bw l d dm T h, h l bhv f f h TV hw Tm Ild w ld Th x vbl bhvl d h h m dm w d, h, l x, fld m, hd

More information

CHAPTER 7. X and 2 = X

CHAPTER 7. X and 2 = X CHATR 7 Sco 7-7-. d r usd smors o. Th vrcs r d ; comr h S vrc hs cs / / S S Θ Θ Sc oh smors r usd mo o h vrcs would coclud h s h r smor wh h smllr vrc. 7-. [ ] Θ 7 7 7 7 7 7 [ ] Θ ] [ 7 6 Boh d r usd sms

More information

Probabilistic Analysis of a Robot System with Redundant Safety Units and Common-Cause Failures

Probabilistic Analysis of a Robot System with Redundant Safety Units and Common-Cause Failures Illg Io Mg 9 5-58 do:.436/.9.3 ublhd Ol Dcb 9 hp://www.cp.og/oul/ obblc Aly of Robo Sy wh Rdud Sfy U d Coo-Cu Flu B. S. DHION Zh I Dp of Mchcl Egg Uvy of Ow Oo Cd El: dhllo@g.uow.c Abc: Th pp p lbly d

More information

ANSWER KEY. Page 1 Page 2 cake key pie boat glue cat sled pig fox sun dog fish zebra. Page 3. Page 7. Page 6

ANSWER KEY. Page 1 Page 2 cake key pie boat glue cat sled pig fox sun dog fish zebra. Page 3. Page 7. Page 6 P 1 P 2 y sd fx s d fsh z ys P 3 P 4 my, ms, m, m, m, m P 6 d d P 7 m y P 5 m m s P 10 y y y P 8 P 9 s sh, s, ss, sd sds, s, sh sv s s P 11 s P 12,, m, m, m,, dd P 13 m f m P 18 h m s P 22 f fx f fsh fm

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

CHAPTER 4. FREQUENCY ESTIMATION AND TRACKING

CHAPTER 4. FREQUENCY ESTIMATION AND TRACKING CHPTER 4. FREQUENCY ESTITION ND TRCKING 4.. Itroducto Estmtg mult-frquc susodl sgls burd os hs b th focus of rsrch for qut som tm [68] [58] [46] [64]. ost of th publshd rsrch usd costrd ft mpuls rspos

More information

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS ELM Numecl Alyss D Muhem Mecmek SOLVING SYSTEMS OF EQUATIONS DIRECT METHODS ELM Numecl Alyss Some of the cotets e dopted fom Luee V. Fusett Appled Numecl Alyss usg MATLAB. Petce Hll Ic. 999 ELM Numecl

More information

New Advanced Higher Mathematics: Formulae

New Advanced Higher Mathematics: Formulae Advcd High Mthmtics Nw Advcd High Mthmtics: Fomul G (G): Fomul you must mmois i od to pss Advcd High mths s thy ot o th fomul sht. Am (A): Ths fomul giv o th fomul sht. ut it will still usful fo you to

More information

Ferromagnetism induced in diluted A 1 x Mn x B semiconductors

Ferromagnetism induced in diluted A 1 x Mn x B semiconductors Smcoducto Physcs Qutum Elctocs & Optolctocs 4 V 7 P 43-5 PCS: 75Gd; 7My; 736G Fomgtsm ducd dlutd x M x B smcoductos VP Bys GG Tsov WT Mssl W oltg YuI Mu 3 G Slmo 3 V Lshyov Isttut of Smcoducto Physcs S

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

GPS/INS Integration Accuracy Enhancement Using the Interacting Multiple Model Nonlinear Filters

GPS/INS Integration Accuracy Enhancement Using the Interacting Multiple Model Nonlinear Filters GS/IS Itgto Acccy Ehcmt Usg th Itctg Mltpl Modl ol Flts D.J. Jwo *, F.C. Chg, K.L. Y 3 Dptmt of Commctos, gto d Cotol Egg tol w Oc Usty, Klg 4, w *dwo@ml.to.d.tw Itc Applcs, Wg Idstl Wg, w p Cty 489, w

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Posterior analysis of the compound truncated Weibull under different loss functions for censored data.

Posterior analysis of the compound truncated Weibull under different loss functions for censored data. INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

OPTICAL DESIGN. FIES fibre assemblies B and C. of the. LENS-TECH AB Bo Lindberg Document name: Optical_documentation_FIES_fiber_BC_2

OPTICAL DESIGN. FIES fibre assemblies B and C. of the. LENS-TECH AB Bo Lindberg Document name: Optical_documentation_FIES_fiber_BC_2 OPTICAL DESIGN f h FIES fb ssmbs B d C LENS-TECH AB B Ldbg 2-4-3 Dcm m: Opc_dcm_FIES_fb_BC_2 Idc Ths p s dcm f h pc dsg f h FIES fb ssmbs B d C Th mchc dsg s shw I s shw h ssmb dwg md b Ahs Uvs Fb c Th

More information

Control system of unmanned aerial vehicle used for endurance autonomous monitoring

Control system of unmanned aerial vehicle used for endurance autonomous monitoring WSES NSIONS o SYSES ONOL oo-o h, s Nco osttsc, h oto sst o vhc s o c tooos oto EODO - IOEL EL, D vst othc o chst o Sc c, St. Ghoh o, o., 6,Scto, chst, ONI too.ch@.o htt:wwww.-cs.o SILE NIOLE ONSNINES,

More information

l2 l l, i.e., phase k k k, [( ). ( ). ]. l1 l l, r, 2

l2 l l, i.e., phase k k k, [( ). ( ). ]. l1 l l, r, 2 ISSN: 77-3754 ISO 9:8 tfd Itto Jou of Egg d Iovtv choogy (IJEI Vou 7 Iu 7 Juy 8 o dft wv gtzd duty cyd Ajy Ghot Dtt of Ad Sc Mhj Suj Ittut of choogy Dh-58 Id d ( x ( x Abtct- h ffct of dut chg fuctuto

More information

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0)

C-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0) An ltntiv to th us of hypolic dclin cuvs Ppd y: Sfim Ltd S E R A F I M info@sfimltd.com P. +44 (02890 4206 www.sfimltd.com Contnts Contnts... i Intoduction... Initil ssumptions... Solving fo cumultiv...

More information

Das Klassik & Jazz Magazin. Mediapack 2018

Das Klassik & Jazz Magazin. Mediapack 2018 Ds Kssk & Jzz Mgz Mdpck 2018 Ds Kssk & Jzz Mgz t gc TOPICS RONDO s d by 100% fcds f cssc musc Sc 1992 RONDO s dpy tgtd cutu f RONDO chs th w-fudd tgt udc f cssc musc: gu vsts f ccts d ps, stdy buys f cssc

More information

Chapter 17. Least Square Regression

Chapter 17. Least Square Regression The Islmc Uvest of Gz Fcult of Egeeg Cvl Egeeg Deptmet Numecl Alss ECIV 336 Chpte 7 Lest que Regesso Assocte Pof. Mze Abultef Cvl Egeeg Deptmet, The Islmc Uvest of Gz Pt 5 - CURVE FITTING Descbes techques

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

Performing k-means analysis to drought principal components of Turkish rivers

Performing k-means analysis to drought principal components of Turkish rivers Hydoogy Dys 2007 Pfomg k-ms yss to dought c comots of Tuksh vs M. Cüyd Dm Istbu Tchc Uvsty, Isttut of Scc d Tchoogy, 34469 Msk Istbu, Tuky; so t Rosst Schoo of M d Atmoshc Sccs, Dvso of Mtooogy d Physc

More information

ORDINANCE NO. 13,888

ORDINANCE NO. 13,888 ORDINANCE NO. 13,888 AN ORDINANCE d Mc Cd Cy Ds Ms, Iw, 2000, dd by Odc N. 13,827, ssd J 5, 2000, by g Sc 134-276 d cg w Sc 134-276, d by ddg d cg w Dvs 21A, cssg Scs 134-991 g 134-997, c w "C-3R" C Bsss

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

Odd Generalized Exponential Flexible Weibull Extension Distribution

Odd Generalized Exponential Flexible Weibull Extension Distribution Odd Gralzd Epotal Flbl Wbull Etso Dstrbuto Abdlfattah Mustafa Mathmatcs Dpartmt Faculty of Scc Masoura Uvrsty Masoura Egypt abdlfatah mustafa@yahoo.com Bh S. El-Dsouy Mathmatcs Dpartmt Faculty of Scc Masoura

More information

Margrabe Formulas for a Simple Bivariate Exponential Variance-Gamma Price Process (II) Statistical Estimation and Application

Margrabe Formulas for a Simple Bivariate Exponential Variance-Gamma Price Process (II) Statistical Estimation and Application Iol Joul o Scc d Iovv Mhmcl Rsch IJSIMR Volum I Issu I Augus- PP -44 www.couls.og Mg Fomuls o Smpl Bv Epol Vc-Gmm Pc Pocss II Sscl Esmo d Applco W Hülm Wols luw Fcl Svcs Sldsss 69 CH-88 Züch Swzld. w.hulm@wolsluw.com

More information

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst

More information

Studying the Problems of Multiple Integrals with Maple Chii-Huei Yu

Studying the Problems of Multiple Integrals with Maple Chii-Huei Yu Itetol Joul of Resech (IJR) e-issn: 2348-6848, - ISSN: 2348-795X Volume 3, Issue 5, Mch 26 Avlble t htt://tetoljoulofesechog Studyg the Poblems of Multle Itegls wth Mle Ch-Hue Yu Detmet of Ifomto Techology,

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge ccog to the ut whch the e fst touce. Thus cte sttg ut m e eque to use the fomule tht wee touce peceg ut e.g. ctes sttg C mght e epecte to use

More information

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates.

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates. CURVE FITTING Descbes techques to ft cuves (cuve fttg) to dscete dt to obt temedte estmtes. Thee e two geel ppoches fo cuve fttg: Regesso: Dt ehbt sgfct degee of sctte. The stteg s to deve sgle cuve tht

More information

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations GCE Edecel GCE Mthemtcs Mthemtcl Fomule d Sttstcl Tles Fo use Edecel Advced Susd GCE d Advced GCE emtos Coe Mthemtcs C C4 Futhe Pue Mthemtcs FP FP Mechcs M M5 Sttstcs S S4 Fo use fom Ju 008 UA08598 TABLE

More information

principles of f ta f a rt.

principles of f ta f a rt. DD H L L H PDG D BB PBLH L 20 D PP 32 C B P L s BDWY s BGG M W C WDM DLL P M DC GL CP F BW Y BBY PMB 5 855 C WHL X 6 s L Y F H 5 L & 5 zzzl s s zz z s s» z sk??» szz zz s L ~Lk Bz ZzY Z? ~ s s sgss s z«f

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

AS and A Level Further Mathematics B (MEI)

AS and A Level Further Mathematics B (MEI) fod Cmbdge d RSA *3369600* AS d A evel Futhe Mthemtcs B (MEI) The fomto ths booklet s fo the use of cddtes followg the Advced Subsd Futhe Mthemtcs B (MEI)(H635) o the Advced GCE Futhe Mthemtcs B (MEI)

More information

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3 - - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f

More information

Transmuted Exponentiated Inverse Weibull Distribution with Applications in Medical Sciences

Transmuted Exponentiated Inverse Weibull Distribution with Applications in Medical Sciences ol Jol of Mhmcs Ts Tcholoy JMTT Volm 5 Nmb Ocob 7 Tsm Epo vs Wbll Dsbo wh Applcos Mcl Sccs Uzm J # Kws Fm * SP Ahm # Dpm of Sscs Uvsy of Kshm S Absc: Ths mscp coss h sm mol of h Epo vs Wbll sbo A comphsv

More information

Inner Product Spaces INNER PRODUCTS

Inner Product Spaces INNER PRODUCTS MA4Hcdoc Ir Product Spcs INNER PRODCS Dto A r product o vctor spc V s ucto tht ssgs ubr spc V such wy tht th ollowg xos holds: P : w s rl ubr P : P : P 4 : P 5 : v, w = w, v v + w, u = u + w, u rv, w =

More information

(A) Find the sine half-range expansion of ) L L k = L. k π. 5 sin 5. sin. sin + L. sin. sin. sin (B) 5 sin 5 (C) sin. sin. sin. sin.

(A) Find the sine half-range expansion of ) L L k = L. k π. 5 sin 5. sin. sin + L. sin. sin. sin (B) 5 sin 5 (C) sin. sin. sin. sin. 9-9 A Fd th hlf-g po of f < < < < f f f A B C 8 D 8 E F G H o of th bov %9 - p.-7 - b T b f d f d T f T b T d d 8 f 8 8 8 C / 9 - Fd th Fou tfom of f, f. w A w w C w w E w w G w w B w w D w w F w H o of

More information

Lecture 1: Empirical economic relations

Lecture 1: Empirical economic relations Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.

More information

L...,,...lllM" l)-""" Si_...,...

L...,,...lllM l)- Si_...,... > 1 122005 14:8 S BF 0tt n FC DRE RE FOR C YER 2004 80?8 P01/ Rc t > uc s cttm tsus H D11) Rqc(tdk ;) wm1111t 4 (d m D m jud: US

More information