International Journal of Pure and Applied Sciences and Technology
|
|
- Nathaniel Hunt
- 6 years ago
- Views:
Transcription
1 I J Pu Appl Sc Tchol 8 pp 59-7 Iaoal Joual o Pu ad Appld Sccs ad Tchology ISSN 9-67 Avalabl ol a wwwopaasa Rsach Pap Tasmud Quas Ldly Dsbuo: A Galzao o h Quas Ldly Dsbuo I Elbaal ad M Elgahy * Isu o Sascal Suds ad Rsach Dpam o Mahmacal Sascs Cao Uvsy * Cospodg auho -mal: _lbaal@sacudug Rcvd: 7-7-; Accpd: 5-9- Absac: Th Ldly dsbuo s o o h mpoa o sudyg sss--sgh lably modlg Bsds som sachs hav poposd w classs o dsbuos basd o modcaos o h quas Ldly dsbuo I hs pap a w galzd vso o hs dsbuo whch s calld h asmud quas Ldly dsbuo s oducd A comphsv mahmacal am o h TL dsbuo s povdd W dv h h mom ad mom gag uco hs dsbuo Moov w dscuss h las squas wghd las squas ad h mamum lklhood smao o hs dsbuo Kywods: Quas Ldly dsbuo Hazad uco Moms Mamum lklhood smao Ioduco ad Movao Quas Ldly dsbuo wh paams ad s dd by s pobably dsy uco pd g ; > > > I ca asly b s ha a h QLD Equao ducs o h Ldly dsbuo 958 wh pobably dsy uco g ; > >
2 I J Pu Appl Sc Tchol ad a ducs o h gamma dsbuo wh paams Th pd Equao ca b show as a mu o poal ad gamma dsbuos as ollows g pg p g Wh p g ad g Th cumulav dsbuo uco cd o QLD s obad as G > > > Wh s scal paam Ghay al 8a hav dscussd vaous pops o hs dsbuo ad showd ha may ways Equao povds a b modl o som applcaos ha h poal dsbuo A dsc vso o hs dsbuo has b suggsd by Dz ad Oda havg s applcaos cou daa lad o suac Sakaa 97 obad h Ldly mu o Posso dsbuo Ghay al 8b c obad sz-basd ad zo-ucad vso o Posso- Ldly dsbuo ad dscussd h vaous pops ad applcaos Ghay ad Almua 9 dscussd as vaous smao mhods o h dsc Posso- Ldly dsbuo Bakouch al obad a dd Ldly dsbuo ad dscussd s vaous pops ad applcaos Mazuchl ad Achca dscussd h applcaos o Ldly dsbuo o compg sks lm daa Rama ad Msha sudd quas Ldly dsbuo Ghay al dvlopd a wo-paam wghd Ldly dsbuo ad dscussd s applcaos o suvval daa Zakzadah ad Dola obad a galzd Ldly dsbuo ad dscussd s vaous pops ad applcaos Tasmuao Map I hs subsco w dmosa asmud pobably dsbuo L F ad F b h cumulav dsbuo ucos o wo dsbuos wh a commo sampl spac Th gal ak asmuao as gv 7 s dd as G u F F u ad G u F F u R No ha h vs cumulav dsbuo uco also kow as qual uco s dd as F y F y o y R { } [ ] Th ucos G R u ad G R u boh map h u val o sl ad ud suabl assumpos a muual vss ad hy sasy G ad G A quadac Rak Tasmuao Map QRTM s dd as R R I [ ] R G R u u u u Fom whch ollows ha h cd's sasy h laoshp
3 I J Pu Appl Sc Tchol F F F 4 Whch o dao ylds [ F ] 5 Wh ad a h cospodg pds assocad wh cd F ad F spcvly A sv omao abou h quadac ak asmuao map s gv Shaw al 7 Obsv ha a w hav h dsbuo o h bas adom vaabl Th ollowg Lmma povd ha h uco gv 5 sass h popy o pobably dsy uco Lmma: gv 5 s a wll dd pobably dsy uco Poo: Rwg as F w obsv ha s ogav W d o show ha h gao ov h suppo o h adom vaabl s qual o Cosd h cas wh h suppo o s I hs cas w hav [ ] d [ F ] d d F d Smlaly oh cass wh h suppo o h adom vaabl s a pa o al l ollows Hc s a wll dd pobably dsy uco W call h asmud pobably dsy o a adom vaabl wh bas dsy Also o ha wh h Ths povs h qud sul May auhos dalg wh h galzao o som wll- kow dsbuos Ayal ad Tsokos 9 dd h asmud galzd m valu dsbuo ad hy sudd som basc mahmacal chaacscs o asmud Gumbl pobably dsbuo ad has b obsvd ha h asmud Gumbl ca b usd o modl clma daa Also Ayal ad Tsokos psd a w galzao o Wbull dsbuo calld h asmud Wbull dsbuo Rcly Ayal poposd ad sudd h vaous sucual pops o h asmud Log- Logsc dsbuo ad Muhammad kha ad kg oducd h asmud modd Wbull dsbuo whch ds c dvlopm o asmud Wbull dsbuo by Ayal al ad hy sudd h mahmacal pops ad mamum lklhood smao o h ukow paams Elbaal psd Tasmud Modd Ivs Wbull Dsbuo Th s o h pap s ogazd as ollows I Sco w dmosa asmud pobably dsbuo h hazad a ad lably ucos o dsbuo I Sco w sudd h sascal pops clud qual ucos moms mom gag uco Th dsbuo o od sascs s pssd Sco 4 Th las squas ad wghd las squas smaos a oducd Sco 5 Fally I Sco6 w dmosa h mamum lklhood smas o h ukow paams
4 I J Pu Appl Sc Tchol Tasmud Quas Ldly Dsbuo I hs sco w sudd h asmud quas Ldly dsbuo Now usg ad w hav h cd o asmud Ldly dsbuo F Wh scal paam ad s h asmud paam Th scos quao o h valus o ad a always h sam Th pobably dsy uco pd o h asmud Ldly dsbuo s gv by Th lably uco RF o h asmud quas Ldly dsbuo s dod by R also kow as h suvvo uco ad s dd as F R I s mpoa o o ha R F O o h chaacsc lably aalyss s h hazad a uco HF dd by [ ] [ ] [ ][ ] 4 F h I s mpoa o o ha h us o h s h pobably o alu p u o m dsac o cycls Ths alu as a dd wh d chocs o paams Th cumulav hazad uco o h asmud quas Ldly dsbuo s dod by H ad s dd as
5 I J Pu Appl Sc Tchol H l 5 I s mpoa o o ha h us o H s h cumulav pobably o alu p u o m dsac o cycls w ca show ha Fo all choc o paams h dsbuo has h dcasg pas o cumulav saaous alu as Sascal Pops Ths sco s dvod o sudyg sascal pops o h dsbuo spccally qual uco moms ad mom gag uco Qual Fuco Th qh qual q o h asmud quas Ldly dsbuo ca b obad om as 4q W smula h dsbuo by solvg h ola quao Wh u has h uom U dsbuo Moms 4u I hs subsco w dscuss h h mom o dsbuo Moms a cssay ad mpoa ay sascal aalyss spcally applcaos I ca b usd o sudy h mos mpoa aus ad chaacscs o a dsbuo g dcy dspso skwss ad kuoss Thom : I X has h h h mom o X s gv by h ollowg Poo: L X b a adom vaabl wh dsy uco Th dsbuo s gv by h oday mom o h
6 I J Pu Appl Sc Tchol { II I d d d X E Wh 4 d d d I Smlaly 5 d II Subsug om 4 ad 5 o w g Whch compls h poo Basd o h s ou moms o h dsbuo h masus o skwss Φ A ad kuoss Φ k o h dsbuo ca obad as [ ] 6 Φ A ad
7 I J Pu Appl Sc Tchol [ ] Φ k Mom Gag Fuco I hs subsco w dvd h mom gag uco o dsbuo Thom : I X has dsbuo h h mom gag uco M X has h ollowg om 8 M X Poo: W sa wh h wll kow do o h mom gag uco gv by 9 II I d d E M X Wh d I Ad d d d II Subsug om ad o 9 w g M X Whch compls h poo
8 I J Pu Appl Sc Tchol Dsbuo o h Od Sascs I hs sco w dv closd om pssos o h pds o h h od sasc o h dsbuo also h masus o skwss ad kuoss o h dsbuo o h h od sasc a sampl o sz o d chocs o ; a psd hs sco L X X X b a smpl adom sampl om dsbuo wh pd ad cd gv by ad spcvly L X X X do h od sascs obad om hs sampl W ow gv h pobably dsy uco o X : say : ad h moms o X : Tho h masus o skwss ad kuoss o h dsbuo o h X : a psd Th pobably dsy uco o X : s gv by : B [ F ] [ F ] 4 Wh F ad a h cd ad pd o h dsbuo gv by spcvly ad B s h ba uco sc < F < o by usg h bomal ss paso o [ ] W hav F gv by [ F ] [ F ] 4 : B [ F Φ ] 4 Subsug om ad o 4 w ca pss h k h oday mom o h h od sascs X : say E X k : as a l combao o h k h moms o h dsbuo wh d shap paams Tho h masus o skwss ad kuoss o h dsbuo o X : ca b calculad 5 Las Squas ad Wghd Las Squas Esmaos I hs sco w povd h gsso basd mhod smaos o h ukow paams o h asmud quas Ldly dsbuo whch was ogally suggsd by Swa Vkaama ad Wlso 988 o sma h paams o ba dsbuos I ca b usd som oh cass also Suppos Y Y s a adom sampl o sz om a dsbuo uco G ad suppos Y ; dos h odd sampl Th poposd mhod uss h dsbuo o G Y Fo a sampl o sz w hav
9 I J Pu Appl Sc Tchol ;o ad k k G Y G Y Cov G Y V E G Y k < S Johso Koz ad Balaksha 995 Usg h pcaos ad h vaacs wo vaas o h las squas mhods ca b usd Mhod Las Squas Esmaos: Oba h smaos by mmzg 5 Y G Wh spc o h ukow paams Tho cas o dsbuo h las squas smaos o ad say LSE LSE ad LSE spcvly ca b obad by mmzg Wh spc o ad Mhod Wghd Las Squas Esmaos: Th wghd las squas smaos ca b obad by mmzg 5 G Y w Wh spc o h ukow paams wh G Y V w Tho cas o dsbuo h wghd las squas smaos o ad say WLSE WLSE ad WLSE spcvly ca b obad by mmzg w wh spc o h ukow paams oly
10 I J Pu Appl Sc Tchol Esmao ad Ic I hs sco w dm h mamum lklhood smas MLEs o h paams o h dsbuo om compl sampls oly L X X X b a adom sampl o sz om Th lklhood uco o h vco o paams Φ ca b w as 6 L Φ Π Φ Π Π Takg h log-lklhood uco o h vco o paams Φ w g 6 log log log log log L Th log-lklhood ca b mamzd h dcly o by solvg h ola lklhood quaos obad by dag 6 Th compos o h sco vco a gv by { } 6 log L { } 64 log L Ad { } 65 log L W ca d h smas o h ukow paams by mamum lklhood mhod by sg
11 I J Pu Appl Sc Tchol hs abov o-la quaos 6 ad 65 o zo ad solv hm smulaously Tho w hav o us mahmacal packag o g h MLE o h ukow paams Also all h scod od dvavs s Thus w hav h vs dspso ma s gv by Wh V V V N V V V V V V V V V V V V V E V V V 66 V V L V L V L V L L By solvg hs vs dspso ma hs soluos wll yld asympoc vaac ad covaac's o hs ML smaos o ad Usg 66 w appoma γ % codc vals o ad a dmd spcvly as ± z V ± z V ad ± z V γ γ γ wh z γ s h upp γ h pcl o h sadad omal dsbuo Rcs [] GR Ayall ad CP Tsokos Tasmud Wbull dsbuo: A galzao o h Wbull pobably dsbuo Euopa Joual o Pu ad Appld Mahmacs [] GR Ayall ad CP Tsokos O h asmud m valu dsbuo wh applcaos Nola Aalyss: Thoy Mhods ad Applcaos [] GR Ayall Tasmud log-logsc dsbuo J Sa Appl Po - [4] HS Bakouch BM Al-Zaha AA Al-Shoma VAA Mach ad F Louzada A dd Ldly dsbuo J Koa Sa Soc [5] EG Dz ad EC Oda Th dsc Ldly dsbuo-pops ad applcaos J Sa Compu Smul [6] ME Ghay B Ah ad S Nadaaah Ldly dsbuo ad s applcaos Mah Compu Smul [7] ME Ghay ad DK Al-Mua Esmao mhods o h dsc Posso-Ldly dsbuo J Sa Compu Smul 79 8a -9 [8] ME Ghay ad DK Al-Mua Sz-basd Posso-Ldly dsbuo ad s applcaos Mo- I J Sa LXVI 8b 99- [9] ME Ghay DK Al-Mua ad S Nadaaah Zo-ucad Posso-Ldly dsbuo
12 I J Pu Appl Sc Tchol ad s applcaos Mah Compu Smul 79 8c [] ME Ghay F Al-qalla DK Al-Mua ad HA Hussa A wo paam wghd Ldly dsbuo ad s applcaos o suvval daa Mah Compu Smul [] DV Ldly Fducal dsbuos ad Bays' hom J Royal Sa Soc Ss B [] J Mazuchl ad JA Achca Th Ldly dsbuo appld o compg sks lm daa Compu Mhods Pogams Bomd [] MS Kha ad R Kg Tasmud modd Wbull dsbuo: A galzao o h modd Wbull pobably dsbuo Euopa Joual o Pu ad Appld Mahmacs [4] M Sakaa Th dsc Posso-Ldly dsbuo Bomcs [5] W Shaw ad I Buckly Th alchmy o pobably dsbuos: byod Gam- Chal pasos ad a skw- kuoc- omal dsbuo om a ak asmuao map axv pp axv [6] H Zakzadah ad A Dola Galzd Ldly dsbuo J Mah E - 5
PERFORMANCE RATING OF TRANSMUTED NADARAJAH AND HAGHIGHI EXPONENTIAL DISTRIBUTION: AN ANALYTICAL APPROACH
Joua of Sascs: Advacs Thoy ad Appcaos Voum 7, Numb, 7, Pags 37-5 Avaab a hp://scfcadvacs.co. DOI: hp://d.do.og/.864/jsaa_787 PERFORMANCE RATING OF TRANSMUTED NADARAJAH AND HAGHIGHI EXPONENTIAL DISTRIBUTION:
More informationCHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS
CHAPTER: 3 INVERSE EXPONENTIAL DISTRIBUTION: DIFFERENT METHOD OF ESTIMATIONS 3. INTRODUCTION Th Ivrs Expoal dsrbuo was roducd by Kllr ad Kamah (98) ad has b sudd ad dscussd as a lfm modl. If a radom varabl
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationConvolution of Generated Random Variable from. Exponential Distribution with Stabilizer Constant
Appld Mamacal Scc Vol 9 5 o 9 78-789 HIKARI Ld wwwm-acom p://dxdoog/988/am5559 Covoluo of Gad Radom Vaabl fom Expoal Dbuo w Sablz Coa Dod Dvao Maa Lufaa Oaa ad Maa Aa Dpam of Mamac Facul of Mamac ad Naual
More informationSOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN
aoal Joual of Mod Egg Rsach (JMER) www.jm.com ol. ssu. Ja-F 0 pp-00-07 N: 9- OME MPUTATON METHOD N DOUBLE AMPLNG HEME FOR ETMATON OF POPULATON MEAN ABTRAT Nada gh Thaku Kalpaa adav fo Mahmacal ccs (M)
More informationON STATISTICAL PROPERTIES OF THE EXPONENTIATED TRANSMUTED INVERTED WEIBULL DISTRIBUTION
Joua of Sascs: Advacs Thoy ad Appcaos Voum 8 Num 7 Pags 43-64 Avaa a hp://scfcadvacsco DOI: hp://dxdoog/864/saa_79 ON STATISTICAL PROPERTIES OF THE EXPONENTIATED TRANSMUTED INVERTED WEIBULL DISTRIBUTION
More informationExistence 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 informationA 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 informationOption Pricing in a Fractional Brownian Motion Environment
Opo Pcg a acoal owa Moo vom Cpa Ncula Acamy o coomc u ucha, omaa mal: cpc@yahoo.com h a: buay, Abac h pupo o h pap o oba a acoal lack-chol omula o h pc o a opo o vy [, ], a acoal lack-chol quao a a k-ual
More informationThe 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 informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationNew 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 informationBoyce/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 informationDr. 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 informationLecture Y4: Computational Optics I
Phooc ad opolcoc chologs DPMS: Advacd Maals Udsadg lgh ma acos s cucal fo w applcaos Lcu Y4: Compuaoal Opcs I lfos Ldoks Room Π, 65 746 ldok@cc.uo.g hp://cmsl.maals.uo.g/ldoks Rflco ad faco Toal al flco
More informationAlmost unbiased exponential estimator for the finite population mean
Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du
More informationLinear Perturbation Bounds of the Continuous-Time LMI-Based H Quadratic Stability Problem for Descriptor Systems
UGRN DE OF ENE ERNE ND NFORON EHNOOGE Volu No 4 ofa a ubao ouds of h ouous- -asd H uadac ably obl fo Dscpo yss dy ochv chcal Uvsy of ofa Faculy of uoacs Dpa of yss ad ool 756 ofa Eal ayochv@u-sofa.bg bsac
More informationChap 2: Reliability and Availability Models
Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h
More informationMean Estimation with Imputation in Two- Phase Sampling
Iaoal Joual of o gg sac (IJ) www.jm.com ol. Issu.5 p-oc. 0 pp-56-5 I: 4-6645 a smao w Impuao wo- Pas amplg aa g au Kalpaa aav aa Paa * fo amacal ccs () aasal Uvsaasal ajasa * pam of amacs a ascs. H.. Gou
More informationMathematical 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 informationA Proportional Differentiation Model Based on Service Level
ppl. ah. If. c. 6 o. pp. 453-46 ppld ahmacs & Ifomao ccs Iaoal Joual @ aual ccs ublshg Co. opooal Dffao odl d o vc Lvl K-o Cho Dpam of Idusal & aagm gg Hau Uvsy of og uds Yog 449-79 Koa Cospodg auho: mal:
More informationInternational 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 informationConvergence 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 informationPhys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time
Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok
More informationThe Log-Gamma-Pareto Distribution
aoa Joa of Scc: Bac ad Appd Rach JSBAR SSN 37-453 P & O hp:odphp?oajoaofbacadappd ---------------------------------------------------------------------------------------------------------------------------
More informationWARRANT VALUATION METHODS
ARRA ALUAIO MEHOD o R. aa Ph.D. FRM Mogom Ivsm cholog Ic. Fal am J 83 Pho: 6 688-8 so.saa@fools.com www.fools.com cos h cas of a Euopa sl waa ha ls h coac hol o bu a h sk pc o sha of h ulg sock. BLAK-HOLE-MERO
More informationReliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution
raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,
More informationTrefftz method in solving the inverse problems
IP-A Ivs Poblms: vlopms ho a applcaos Fbua 9- Wasaw Pola ff mho solvg h vs poblms Ksof Gsa Klc Uvs of cholog Al.. -lca P.P.7 5-34 Klc Pola -mal: sof@gsa.pl /7 IP-A Ivs Poblms: vlopms ho a applcaos Fbua
More informationISSN No. (Print) :
Iraoal Joural o Emrgg Tchologs (Scal Issu NCETST-07) 8(): 88-94(07) (Publshd by Rsarch Trd, Wbs: www.rsarchrd.) ISSN No. (Pr) : 0975-8364 ISSN No. (Ol) : 49-355 Comarso bw Baysa ad Mamum Lklhood Esmao
More informationAlmost Unbiased Exponential Estimator for the Finite Population Mean
Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors
More informationCharacterizing Optical Thin Films (I)
Chaaczg Opcal Th Flms (I) Physcal vapo dposo s h mos commo chqu usd o dpos opcal h lms o a lag vay o applcaos. Ths qus h ably o g a sold maal o a vapo (gasous) om, o aspo o a suac oo whch h lm s o b dposd,
More informationSeries of New Information Divergences, Properties and Corresponding Series of Metric Spaces
Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya
More informationChapter 5 Transmission Lines
hap 5 asmsso s 5- haacscs of asmsso s asmsso l: has o coucos cay cu o suppo a M av hch s M o quas-m mo. Fo h M mo a H M H M a a M. h cu a h M av hav ff chaacscs. A M av popaas o ff lcc ma h paal flco a
More informationInternational Journal of Scientific & Engineering Research, Volume 7, Issue 5, May-2016 ISSN The Maximum Eccentricity Energy of a Graph
Iaoa Joa of cfc & Egg Rsach Vom 7 Iss 5 ay6 IN 955 5 Th axmm Ecccy Egy of a Gaph Ahmd Na ad N D o Absac I Ths pap w odc h cocp of a maxmm cccy max oba som coffcs of h chaacsc poyoma of a cocd gaph G ad
More informationBy Joonghoe Dho. The irradiance at P is given by
CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap
More informationControl 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 informationMultivariate Partial Distribution: A New Method of Pricing Group Assets and Analyzing the Risk for Hedging. Feng Dai, Hui Liu and Ying Wang
RI ooms ad ooms Rsah Isu Mulvaa Paal Dsbuo: A Nw Mhod of Pg Goup Asss ad Aalzg h Rsk fo Hdgg Fg Da Hu Lu ad Yg Wag RI Rsah Pap Ss No 3/5 Copgh 5 b Fg Da Hu Lu ad Yg Wag RI ooms ad ooms Rsah Isu Avu d Baulu
More informationECE Department, NIT, Kurukshetra, Harayana, India
ISSN : 9-4333(P) ISSN : 976-849(Ol) Pfomac Evaluao of Coas Ehacm Tchqus fo Dgal Imags Vay Kuma, ma Basal, ECE Dpam, NIT, Kuusha, aayaa, Ida IJCST Vo l., Is s u, Ma c h Absac sogam qualzao (E) s wdly usd
More informationChapter 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 informationPressure Transient Analysis for Non-Newtonian Power-Law Fluid Flow in Double Porous Media and Fractal Reservoirs
ssu Tas Aalyss o No-Noa o-la Flu Flo oubl oous Ma a Facal Rsvos HOU Yg M TONG g K ollg o Mahacs a opuaoal Sccha Uvsy o olu ogyg 576 houyg@upc.u.c Absac Ths pap pss a ahacal ol o as lo o h o-noa po-la lu
More informationLet's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =
L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (
More informationCBSE , 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(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationSuppose we have observed values t 1, t 2, t n of a random variable T.
Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationTransmuted Exponentiated Gamma Distribution: A Generalization of the Exponentiated. Gamma Probability Distribution
Appld Mathatcal Sccs Vol. 8 04 o. 7 97-30 HIKARI Ltd www.-hkar.co http//d.do.org/0.988/as.04.405 Trasutd Epotatd Gaa Dstrbuto A Gralzato o th Epotatd Gaa Probablty Dstrbuto Mohad A. Hussa Dpartt o Mathatcal
More informationSolution set Stat 471/Spring 06. Homework 2
oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationChapter 1 Basic Concepts
Ch Bsc Cocs oduco od: X X ε ε ε ε ε O h h foog ssuos o css ε ε ε ε ε N Co No h X Chcscs of od: cos c ddc (ucod) d s of h soss dd of h ssocd c S qusos sd: Wh f h cs of h soss o cos d dd o h ssocd s? Wh
More informationRAKE 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 informationShrinkage Estimators for Reliability Function. Mohammad Qabaha
A - Najah Uv. J. es. (N. Sc.) Vol. 7 3 Shkage Esmaos fo elably Fuco مقدرات التقلص لدالة الفاعلية ohammad Qabaha محمد قبها Depame of ahemacs Faculy of Scece A-Najah Naoal Uvesy alese E-mal: mohqabha@mal.ajah.edu
More informationThe Beta Generalized Marshall-Olkin-G Family of Distributions. (21 August 21, 2016)
Th a azd Masha-O- ay o Dsuos Laa Hadu ad Suaa Chaaoy* Da o Sascs Duah Uvsy Duah-7864 da *Cosod Auho. Ea suaa_sas@du.ac. Auus 6 Asac hs a w oos a w ay o dsuo cosd azd Masha-O dsuo as h as dsuo h a- ay o
More informationStudy of Tyre Damping Ratio and In-Plane Time Domain Simulation with Modal Parameter Tyre Model (MPTM)
Sudy o Ty Damping aio and In-Plan Tim Domain Simulaion wih Modal Paam Ty Modl (MPTM D. Jin Shang, D. Baojang Li, and Po. Dihua Guan Sa Ky Laboaoy o Auomoiv Say and Engy, Tsinghua Univsiy, Bijing, China
More informationBayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP
By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h
More informationSIMULTANEOUS 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 informationCHAPTER 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 informationInference on Curved Poisson Distribution Using its Statistical Curvature
Rsarch Joural of Mahacal ad Sascal Sccs ISSN 3 647 ol. 5 6-6 Ju 3 Rs. J. Mahacal ad Sascal Sc. Ifrc o Curvd Posso Dsrbuo Usg s Sascal Curvaur Absrac Sal Babulal ad Sadhu Sachaya Dpar of sascs Th Uvrsy
More informationAn Asymptotic Expansion for the Non-Central Chi-square Distribution. By Jinan Hamzah Farhood Department of Mathematics College of Education
A Asypoic Expasio fo h o-cal Chi-squa Disibuio By Jia Hazah ahood Dpa of Mahaics Collg of Educaio 6 Absac W div a asypoic xpasio fo h o-cal chi-squa disibuio as wh X i is h o-cal chi-squa vaiabl wih dg
More informationImprovement of the Reliability of a Series-Parallel System Subject to Modified Weibull Distribution with Fuzzy Parameters
Joural of Mahmacs ad Sascs Rsarch Arcls Improvm of h Rlably of a Srs-Paralll Sysm Subjc o Modfd Wbull Dsrbuo wh Fuzzy Paramrs Nama Salah Youssf Tmraz Mahmacs Dparm, Faculy of Scc, Taa Uvrsy, Taa, Egyp
More informationA KAM theorem for generalized Hamiltonian systems without action-angle variables
ho fo gald aloa sss whou ao-agl vaabls Yo u Jo u wa Jog : aual L UG Uvs Pogag oa Popl s publ of oa : Faul of ahas L UG Uvs Pogag oa Popl s publ of oa bsa povd a ho o s of vaa o gald aloa sss whou ao-agl
More informationExample: Two Stochastic Process u~u[0,1]
Co o Slo o Coco S Sh EE I Gholo h@h. ll Sochc Slo Dc Slo l h PLL c Mo o coco w h o c o Ic o Co B P o Go E A o o Po o Th h h o q o ol o oc o lco q ccc lco l Bc El: Uo Dbo Ucol Sl Ab bo col l G col G col
More informationTwo-Dimensional Quantum Harmonic Oscillator
D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr
More informationA new lifetime distribution Nowy rozkład cyklu życia
Acl caon nfo: Clk N, Guloksuz CT A nw lfm dsbuon Eksploaacja Nzawodnosc Mannanc and Rlably 07; 9 (4: 634 639, hp://ddoog/0753/n0748 Nu Clk Cgdm Topcu Guloksuz A nw lfm dsbuon Nowy ozkład cyklu życa Th
More informationOn the Determination of Capital Charges in a Discounted Cash Flow Model. Eric R. Ulm Georgia State University
On h Dmnaon o Capal Chags n a Dscound Cash Flow Modl c R. Ulm Goga Sa Unvs Movaon Solvnc II Rqud sss dmnd on a consoldad bass sss allocad o h lns o busnss on a magnal bass Dvson no Rsvs and Capal s ln
More informationEnvironmental Impact Monitoring Center of Armenia
Wa Qualy M a. Ps ad Fuu. Th pa f al das fals h asbuday sufa wa qualy. Sya H. Masya Eval Ipa M C f a 29 Kas S., 0012 Yva, a Tl: (+37410) 266191, Mb.Tl: (+37491) 266191 Fax: (+37410) 272007 Sya_asya@yah.
More informationANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2
Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads
More informationA NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE TIME SERIES
Joural of Thorcal ad Appld Iformao Tchology h Spmbr 4. Vol. 67 No. 5-4 JATIT & LLS. All rghs rsrvd. ISSN: 99-8645 www.a.org E-ISSN: 87-395 A NOVEL DIFFERENCE EQUATION REPRESENTATION FOR AUTOREGRESSIVE
More informationDensity estimation III. Linear regression.
Lecure 6 Mlos Hauskrec mlos@cs.p.eu 539 Seo Square Des esmao III. Lear regresso. Daa: Des esmao D { D D.. D} D a vecor of arbue values Obecve: r o esmae e uerlg rue probabl srbuo over varables X px usg
More informationON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT
V M Chacko E CONVE AND INCREASIN CONVE OAL IME ON ES RANSORM ORDER R&A # 4 9 Vol. Decembe ON OAL IME ON ES RANSORM ORDER V. M. Chacko Depame of Sascs S. homas Collee hss eala-68 Emal: chackovm@mal.com
More informationThe Exact Methods to Compute The Matrix Exponential
OSR Jual Mahas OSRJM SSN: 858 SSN: 65X Vlu ssu V V Ja b 6 86 wwwsualsg Th Ea Mhds Cu Th Ma Eal Mhad bdullah Sala V C Ba Da Mahas& sass Yashwa Mahavdyalaya Swa Raaad Th Mahwada Uvsy Nadd da Da Mahas & Sass
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationCONTROL OF A SPACE ROBOT FOR CAPTURING A TUMBLING OBJECT
CONROL OF A SPACE ROBO FOR CAPURING A UMBLING OBJEC Ou Ma (), Agl Flos-Abad (), Khah Pham (2) () Dpam o Mchacal ad Aospac Egg, Nw Mxco Sa Uvsy, Las Cucs, NM 88, USA Emal: oma@msu.du, a_abad@msu.du (2)
More informationHomework 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 information8. 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 informationHandout 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 informationP 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 informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationParametric Down Conversion. Quantum optics seminar Winter 2008 Assaf Shaham
Paam Dow Covso Quaum ops sma 7774 W 8 ssaf Shaham ox Iouo Thoy of lass Sum Fquy Gao Quaum Hamloa fo PDC pplaos No la ops Cao of w fqus h sysm. Usually h w fqus hav small amplu lav o h pu fqus. Hamo Dff
More informationWe are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
W a cop wold s ladg pbls o Op Accss books Bl b scss o scss 8 6 M Op accss books avalabl aoal aos ad dos owloads O aos a amog 54 os dlvd o OP % mos cd scss.% obos om op 5 vss Slco o o books dd Book ao d
More informationGet 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 informationPOSITIVITY AND REACHABILITY OF FRACTIONAL ELECTRICAL CIRCUITS
asz Kaczo Posy a achably o Facoal Elccal cs POSIIVIY ND EHIIY OF FION EEI IUIS asz KZOEK* *Facly o Elccal Egg ałyso Usy o chology l Wsa D - ałyso aczo@sppwpl bsac: oos o h posy o acoal la lccal ccs copos
More informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
More informationCBSE 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 informationASYMPTOTIC BEHAVIOR OF FINITE-TIME RUIN PROBABILITY IN A BY-CLAIM RISK MODEL WITH CONSTANT INTEREST RATE
Joural of Mahmacs ad Sascs 3: 339-357 4 ISSN: 549-3644 4 Scc Publcaos do:.3844/mssp.4.339.357 Publshd Ol 3 4 hp://www.hscpub.com/mss.oc ASYMPTOTIC BEHAVIOR OF FINITE-TIME RUIN PROBABILITY IN A BY-CLAIM
More informationAn Analysis of a Double-layer Electromagnetic Shield for a Universal Contactless Battery Charging Platform
A Aalyss of a Doubl-lay Elcomagc Shld fo a Uvsal Coaclss Bay Chagg Plafom Absac A pad doubl-lay plaa sucu s mployd o shld h lcomagc EM fld a h boom of a uvsal chagg plafom. Th doubl-lay cosss of a lay
More informationMargrabe 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 informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data
More informationLecture 2: Bayesian inference - Discrete probability models
cu : Baysian infnc - Disc obabiliy modls Many hings abou Baysian infnc fo disc obabiliy modls a simila o fqunis infnc Disc obabiliy modls: Binomial samling Samling a fix numb of ials fom a Bnoulli ocss
More informationNon-Equidistant Multi-Variable Optimum Model with Fractional Order Accumulation Based on Vector Continued Fractions Theory and its Application
QIYUN IU NON-EQUIDISN MUI-VRIE OPIMUM MODE WIH FRCION ORDER... No-Equds Mu-V Ou Mod w Fco Od ccuuo sd o Vco Coud Fcos o d s co Qu IU * D YU. S oo o dcd Dsg d Mucu o Vc od Hu Us Cgs Hu 8 C. Cog o Mcc Egg
More informationNew approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method
Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare
More informationOn 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 informationAssessing Student Work MATH RUBRIC. Understanding Reasoning Accuracy Communication
Assssg Sud Wk MATH RUBRIC E x 4 P a 3 A 2 N v 1 Udsadg Rasg Auay Cmmua Uss wful ad hugh Th dus a sags ladg dly gazd hughu ad ffv slus. asly fllwd by hs. Exls, aalyzs, ad All fas ad alulas jusfs all lams
More informationEdge 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 informationHeat Transfer in Unsteady Axisymmetric Rotational Flow of Oldroyd Liquid
aoal Joual of Scfc & Egg Rsach Volum, ssu 9, Smb-0 SSN 9-558 Ha Tasf Usady Axsymmc Roaoal Flow of Oldoyd Lqud A. Msha, G. S. Ray, S. Bswal Absac - Ths a dals wh h sudy of ha asf usady axsymmc oaoal flow
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationTechnical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.
Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so
More informationLecture 12: Introduction to nonlinear optics II.
Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal
More informationImproved 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 informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More information