Modified Inverse Weibull Distribution

Size: px
Start display at page:

Download "Modified Inverse Weibull Distribution"

Transcription

1 J. Sa. Appl. Po. No. 5-5 NSP Moded Ivee Webull Dbuo Muhaad Shuab Kha ad Robe K School o Maheacal ad Phcal Scece he Uve o Newcale Callaha NSW 8 Auala Eal Adde huab.a@al.co obe.k@ewcale.edu.au Receved Apl 4 Reved Ma AccepedMa 4 Abac A eealzed veo o ou paaee oded vee webull dbuo D oduced h pape. h dbuo eealze he ollow dbuo Moded Ivee oeal dbuo Moded Ivee Raleh dbuo Ivee webull dbuo. We povde a copeheve decpo o he aheacal popee o he oded vee webull dbuo alo wh elabl behavou. We deve he oe oe eea uco ad eae he ode ac. We popoe he ehod o au lkelhood o ea he odel paaee ad oba he obeved oao a. KewodRelabl uco; oe eao; oe eea uco; lea quae eao; ode ac; au lkelhood eao. Ioduco he vee webull dbuo he le e pobabl dbuo whch ued he elabl eee dcple. he vee webull dbuo ca be ued o odel a vae o alue chaacec uch a a oal ueul le ad wea-ou peod. Relabl ad alue daa boh o le e ad evce ecod whch oe odeled b he le e dbuo uch a he vee oeal vee Raleh vee Webull dbuo. I h eeach we have developed a ew elabl odel called oded vee webull dbuo. h pape ocue o all he popee o h odel ad pee he aphcal aal o oded vee webull elabl odel. h pape pee he elaohp bewee hape paaee ad ohe popee uch a o- elabl uco elabl uco aaeou alue ae cuulave aaeou alue ae odel. h le e dbuo capable o odel o vaou hape o a ad alue cea.he popoed odel ca be ued a a aleave o vee eealzed oeal vee eealzed Raleh vee eealzed webull dbuo. he cuulave dbuo uco CD o he Ivee webull dbuo deoed b ad deed a Iw Joual o Sac Applcao & Pobabl --- A Ieaoal NSP Naual Scece Publh Co. Iw. he CD ve equao. becoe decal wh he CD o Ivee Raleh dbuo o ad o cocde wh he Ivee oeal dbuo. I he pobabl heo o ac he webull ad vee webull dbuo ae he al o couou pobabl dbuo whch have he capabl o develop a ohe le e dbuo uch a oeal eave oeal Raleh vee Raleh dbuo ad webull ale alo kow a pe I II ad III eee value dbuo. Recel Aa e al. [] popoed a Moded Webull dbuo. Soe wok ha alead bee doe o o Ivee Webull dbuo b M. Shuab Kha e al. [9-]. hee dbuo have eveal aacve popee o oe deal we ee o []-[8] [-7].I h pape we oduce ew ou paaee dbuo called Moded Ivee Webull dbuo

2 6 M. Shuab Kha ad Robe K Moded Ivee... D wh ou paaee ad. Hee we povde he acal popee o h elabl odel. he oe eao oe eea uco ad au lkelhood eae MLE S o he ukow paaee ae deved. he apoc codece eval o he paaee ae dcued. he u ad au ode ac odel ae deved. he jo de uco o Moded Ivee Webulldbuo D ae deved. he he Ioao a alo dcued. Moded Ivee Webull Dbuo he pobabl dbuo o D ha ou paaee ad. I ca be ued o epee he alue pobabl de uco PD ve b. MODIIED INVERSE WEIBULL PD MODIIED INVERSE WEIBULL CD ==.5= === ===.8 ==.5= === === === ==.5=.6.4 ===.5.. ==.5= Moded Ivee Webull PD Moded Ivee WebullCD Whee he hape paaee epee he dee pae o he Moded Ivee Webull pobabldbuo. Hee a cale paaee epee he chaacec le ad alo pove a locao paaee alo called a uaaee e alue-ee e o u le. he Moded Ivee Webulldbuo ad o be wo-paaee whe. he pd o he Moded Ivee Webulldbuo ve.. Sce he eco. o he value o ad ae alwa he ae o he D... how he dvee hape o he Moded Ivee WebullPD wh =.5.5 o ad he value o. I poa o oe ha all he ue baed o he aupo ha.he cuulave dbuo uco CD o he Moded Ivee Webull dbuo deoed b ad deed a. Whe he CD o he Moded Ivee Webulldbuo ha zeo value he epee o alue copoe b. I he Moded Ivee WebullCD called u le. Whe he e o ad epee he chaacec le... how he pecal cae o Moded Ivee WebullCD wh ad o he value o ad =.5

3 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo I clea o he.. ha all cuve eec a he po o.4979 he chaacec po o he Moded Ivee WebullCD. Relabl Aal he Moded Ivee Webulldbuo ca be a ueul chaacezao o le e daa aal. he elabl uco R o he Moded Ivee Webull dbuo deoed b R alo kow a he uvvo uco ad deed a R. Oe o he chaacec elabl aal he hazad ae uco deed b h he hazad uco H o he Moded Ivee Webull dbuo alo kow a aaeou alue ae deoed b h ad deed a / R h. I poa o oe ha he u o h he pobabl o alue pe u o e dace o ccle. heoe.he hazad ae uco o a Moded Ivee Webull dbuo ha he ollow popee I he alue ae ae a he MIRD I he alue ae ae a he MIED I he alue ae ae a he IWD. Poo. I he alue ae ae a he MIRD h MIR. I he alue ae ae a he MIED h MIE.4 I he alue ae ae a he IWD

4 H R h 8 M. Shuab Kha ad Robe K Moded Ivee... h IW.5 ue. lluae he elabl pae o a Moded Ivee Webull dbuo a he value o he hape paaee. MODIIED INVERSE WEIBULL R MODIIED INVERSE WEIBULL H.7.8 === === ==.5=.6 === === ==.5= ===.4. ==.5=. === ==.5= Moded Ivee Webull PD Moded Ivee WebullCD 5 MODIIED INVERSE WEIBULL CH 5 5 === === === ==.5= ==.5= Moded Ivee WebullCD I poa o oe ha R... how he Moded Ivee WebullR wh ad =.5.5. I clea ha all cuve eec a he po o.95 he chaacec po o he Moded Ivee WebullR. Whe =.5 he dbuo ha he decea HR. Whe = he HR eadl decea whch epee eal alue. Whe he H couall cea bewee.. 5 ad he decea aaeou alue ae bewee.6 whch epee wea-ou alue. he HR o he D a ve equao. becoe decal wh he HR o Moded Ivee Raleh dbuo o ad o cocde wh he Moded Ivee oeal dbuo. So he Moded Ivee Webulldbuo a ve leble dbuo... how he Moded Ivee Webull H wh ad =.5.5.

5 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo... 9 he Cuulave hazad uco CH o he Moded Ivee Webulldbuo deoed b ad deed a H H l.6 I poa o oe ha he u o H ae he cuulave pobabl o alue pe u o e dace o ccle... how he Moded Ivee WebullCH wh ad =.5.5. I poa o oe ha a ceae he pae o CH cl decea. 4Sacal popee h eco la he acal popee o he D. 4.Quale ad eda he quale q o he D he eal oluo o he ollow equao l q 4. q q he above equao ha o cloed o oluo q o we have dee cae b ubu he paaec value he above quale equao 4.. So he deved pecal cae ae. he q-hquale o he MIRD b ubu q 4 l q. he q-hquale o he IWD b ubu l q q. he q-hquale o he IRD b ubu q l q 4. he q-hquale o he IED b ubu q l q o b ubu q l q B pu q. 5 equao 4. we ca e he eda o D 4.Mode

6 M. Shuab Kha ad Robe K Moded Ivee... he ode o he D ca be obaed a a oluo o he ollow o-lea equao wh epec o 4. he above equao 4. ha o a uabuou oluo he eeal o. he eeal o ha he ollow pecal cae I we pu ad he we have IRD cae h cae equao 4. ake he ollow o 6 4 Solv h equao we e he ode a Mod I we pu he we have MIED cae h cae equao 4. ake he ollow o Solv h equao we e he ode a Mod I we pu he we have IWD cae h cae equao 4. ake he ollow o Solv h equao we e he ode a Mod Such ha kow ha RD ca be deved o IWD whe heeoe he RD becoe Mod 4. Moe he ollow heoe ve he h oe o D heoe 4.I ha he D he h oe o a ve a ollow o o o 4.

7 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo... he poo o h heoe povded Apped. Baed o he above eul ve heoe 4. he coece o vaao coece o kewe ad coece o kuo o D ca be obaed accod o he ollow elao CV 4.4 CS CK 4.6 he coece o vaao he qua ued o eaue he coec o le e daa. he coece o kewe he qua ued o eaue he kewe o le e daa aal. he coece o kuo he qua ued o eaue he kuo o peaked e o he o he le e dbuo. So he above odel ae helpul o acce hee chaacec. 4.4Moe Geea uco he ollow heoe ve he oe eea uco o D. heoe 4. I ha he D he oe eea uco o a M ve a ollow o M o 4.7 o he poo o heoe 4. povded Apped. Baed o he above eul ve heoe 4. he eaue o ceal edec eaue o dpeo coece o vaao coece o kewe ad coece o kuo o D ca be obaed accod o he above elao. 5 Lea quae eao Cae A Le... be a ado aple o Moded Ivee Webull dbuo wh cd ad uppoe ha... deoe he odeed aple. o aple o ze we have E = he lea quae eao LSE S ae obaed b z Q = - 5. I cae o D Equao 5. becoe 4

8 M. Shuab Kha ad Robe K Moded Ivee... - = Q 5. o ze Equao 5. wh epec o ad we deeae wh epec o hee paaee whch lead o he ollow equao l 5.5 Cae B Le... be a ado aple o D Moded Ivee Webull dbuo wh cd o aple o ze we have he lea quae eao LSE S ae obaed b z Q o D equao 5.6 becoe = Q 5.6 o ze equao 5.6 wh epec o ad we deeae wh epec o hee paaee whch lead o he ollow equao l l l 5.9 o he wo equao 5.7 ad 5.8 we e ˆ R 5. R ˆ 5.

9 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo... Subu 5.7 ad 5.8 o 5.9 we e a o-lea equao. B olv he obaed o-lea equao wh epec o we e R ˆ. A ee uch o-lea equao ha o cloed o oluo. So we have o ue a uecal echque uch a Newo Rapho ehod o olve. Cae C Le... be a ado aple o D wh cd ad uppoe ha... deoe he odeed aple. o aple o ze we have.4 -. = E... he ak eeo ad coelao ehod o D ae obaed b u he cd hee u le zeo ad l l l l 5. Le l l l a b l a l l l l l l l l l ˆ 5. b l l l l l l l l ˆ 5.4 he coelao coece o D b ak above aupo l l l l l l l l l l l l cc 5.5 he adad eo o eae o D b ak above aupo k S. l l l l l l l l 5.6 he coece o deeao o D b ak above aupo

10 4 M. Shuab Kha ad Robe K Moded Ivee... R. l l l l l l l l l l l l Ode Sac Le... be he ode ac he he pd o ve b C 6. he jo pd o ad ve b u u C u u 6. Whee C ad C 6.Dbuo o Mu ad Mau Le... be ve ado vaable. Hee we dee M... ad Ma.... We d he dbuo o he oded Ivee Webull dbuo o he u ad au obevao Y ad Y heoe 6.Le... ae depedel decall dbued ado vaable o oded Ivee Webull dbuo wh oupaaee hav pobabl de uco pd ad cuulave dbuo uco Poo o he u ad au ode ac o he ou paaee oded Ivee Webulldbuo D pd ve b Cae A Mu Ode Sac 6.. he u ode ac o he MIRD b ubu 6.4. he u ode ac o he MIED b ubu 6.5. he u ode ac o he IWD b ubu he u ode ac o he IRD b ubu

11 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo he u ode ac o he IED b ubu 6.8 Cae B Mau Ode Sac 6.9. he au ode ac o he MIRD b ubu 6.. he au ode ac o he MIED b ubu 6.. he au ode ac o he IWD b ubu he au ode ac o he IRD b ubu he au ode ac o he IED b ubu 6.4 heoe 6. he ou paaee D oded Ivee Webulldbuo o he eda o ve b Poo o he eda ode ac o he ou paaee oded Ivee Webulldbuo D pd ve b 6.5 We have dee cae b ubu he paaec value he above eda ode ac o equao 6.5. So he deved pecal cae ae

12 6 M. Shuab Kha ad Robe K Moded Ivee.... he eda ode ac o he MIRD b ubu 6.6. he eda ode ac o he MIED b ubu 6.7. he eda ode ac o he IWD b ubu he eda ode ac o he IRD b ubu he eda ode ac o he IED b ubu Jo Dbuo o he h ode Sac ad he h ode ac S he jo pd o ad S wh ad u ve b u u 6.B ak ad 6. he ad a jo de ca be we a 6. heoe 6. B u 6. he jo de uco o oded Ivee Webulldbuo D pd ve b Poo he jo pd o ad S wh ad u ve b

13 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo he u ad au ode ac o he jo de uco o he MIRD b ubu 6.4. he u ad au ode ac o he jo de uco o he MIED b ubu 6.5. he u ad au ode ac o he jo de uco o he IWD b ubu he u ad au ode ac o he jo de uco o he IRD b ubu 4 6.7

14 8 M. Shuab Kha ad Robe K Moded Ivee he u ad au ode ac o he jo de uco o he IED b ubu Mau Lkelhood Eao o he D Code he ado aple... co o obevao whe equao. o hee paaee o oded Ivee Webulldbuo D pd ake a pobabl de uco. he lkelhood uco o equao. ak deed a L ; B ak loah o equao 7. deea wh epec o ad equa o zeo we oba he ea equao ae L l ;... l 7. L l 7. L l l l 7.4 L l 7.5 L l L l l l l L l L l l

15 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo... 9 l L l L l l B olv equao ad 7.5 hee oluo wll eld he ML eao ˆ ˆ adˆ. 7. he Ioao a o hed Suppoe a ado vaable wh pobabl de uco. whee... k he oao a I he k k ec a wh elee. he lo lo I IJ E 7.6 j I he de. ha ecod devave lo / j o all ad j he he eeal eo lo I IJ E j o he hee paaee Moded Ivee Webulldbuo D pd all he ecod ode devave ae e. hu we have L... ; he vee dpeo a l L l L l L l L l L l L V V E l L l L l L B olv h vee dpeo a hee oluo wll eld he apoc vaace ad covaace o hee ML eao o ˆ ˆ adˆ. o he wo paaee Moded Ivee Raleh dbuo he pecal pe o Moded Ivee Webull dbuo whe ad o he wo paaee Moded Ivee oeal dbuo he pecal pe o Moded Ivee Webull dbuo whe all he ecod ode devave ae e. B u 7.7 appoael % codece eval o ca be deeed a 7.7 ˆ Vˆ Z / Z / ˆ Vˆ ad ˆ Z / Vˆ 7.8 Whee Z / he uppe h pecele o he adad oal dbuo.

16 M. Shuab Kha ad Robe K Moded Ivee... 8 Cocluo I h pape we oduce he ou paaee Moded Ivee Webulldbuo ad peeed heoecal popee. h dbuo ve leble elabl odel ha appoache o dee le e dbuo whe paaee ae chae. o he aaeou alue ae aal obeved ha ha cea ad decea alue ae pae o le e daa. Apped A he Poo o heoe 4. d B ubu o equao. o he above elao we have d A Cae A I h cae ad. he oe qua A Hee equao A ake he ollow o d d d A Cae B I he ecod cae we aue ha ad d B ubu w he we e 4 A4 Cae C I he hd cae we aue ha ad d

17 M. Shuab Kha ad Robe K Moded Ivee Webull Dbuo... B ubu w he we e 4 A5 he Poo o heoe 4. d e M B ubu o equao. o he above elao we have d M X A6 B ak aupo ha he u le zeo d M X Cae A I h cae ad. B u equao A equao A6 ake he ollow o d M X X M A7 Cae B I h cae ad. B u equao A equao A6 ake he ollow o d M X M X A8 Reeece [] Aa M. Saha ad MazeZad. Moded Webull dbuo Appled Scece 9-6. [] A. M. Abouaoh&Awa M. Alh. Relabl eao o eealzed veed oeal dbuo Joual o Sacal Copuao ad Sulao [] A. lah H. Elalloukh E. Med ad M. Mlaova heoeaed Iveed Webull Dbuo Appl. Mah. I. Sc. 6 No [4] Deveda Kua ad Abhhek Sh Recuece Relao o Sle ad Poduc Moe o Lowe Recod Value o Moded-Ivee Webull Dbuo Ge. Mah. Noe No. Mach 6-. [5] Euea Paaecu Paelo Geoe Popecu PopleaCoza Maaa Popa Baea ad o-baea Eao u ecod ac o he oded-vee Webull dbuo poceed o he Roaa acade ee A No. 4. [6] Gokaa R. Aal Ch P. oko. aued Webull Dbuo A Geealzao o he Webull Pobabl Dbuo. Euopea Joual o Pue ad Appled Maheac Vol. 4 No. 89-.

18 M. Shuab Kha ad Robe K Moded Ivee... [7] GovdaMudholka DeoSvaava ad Geoe Kolla. A eealzao o he webull dbuo wh applcao o he aal o uvval daa. Joual o he Aeca Sacal Aocao [8] Hoa Pha ad Ch-Dew La. O Rece Geealzao o he Webull Dbuo. IEEE aaco o Relabl [9] Kha M.S Paha G.R ad Paha A.H. heoecal aal o Ivee Webull dbuo. WSEAS aaco o Maheac [] Kha M.S Paha G.R. he plo o obevao o he Ivee Webull Dbuo o pobabl pape. Joual o Advace Reeach Pobabl ad Sac. Vol [] Kha S.K. he Bea Ivee Webull Dbuo Ieaoal aaco Maheacal Scece ad Copue Vol. -9. [] Kha M. Shuab Paha G.R ad Paha A.H. he Ioao Ma o he Ivee Webull Dbuo Ieaoal J. o Mah. Sc. &E. Appl. IJMSEA Vol. No. III [] Lu Ch-chao A Copao bewee he Webull ad Looal Model ued o Aalze Relabl Daa. PhD he Uve o Noha 997. [4] MazeZad Aa M. Saha Paaee Eao o he ModedWebull Dbuo Appled Maheacal Scece Vol [5] Maal M. Naa ad ah H. Ea. O he oeaedwebull Dbuo. Coucao Sac - heo ad Mehod [6] M. Shakl M. Ahaullah Revew o Ode Sac ad Recod Value o Vol. VIII No. -. Dbuo. Pak.j.a.ope.e. [7] M. Z. Raqab Ieece o eealzed oeal dbuo baed o ecod ac. J. Sa. Pla & Ieece. Vol

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd,

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd, Ieol Mhemcl oum Vol. 9 4 o. 3 65-6 HIKARI Ld www.m-h.com hp//d.do.o/.988/m.4.43 Some Recuece Relo ewee he Sle Doule d Tple Mome o Ode Sc om Iveed mm Duo d hceo S. M. Ame * ollee o Scece d Hume Quwh Shq

More information

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Generalized Entropy of Kumaraswamy Distribution Based on Order Statistics

Generalized Entropy of Kumaraswamy Distribution Based on Order Statistics Geeaed Eop o Kumaawam Dbuo Baed o Ode Sac Ra Na M.A.K Bag 2 Javd Ga Da 3 Reeach Schoa Depame o Sac Uve o Kahm Saga Ida 2 Aocae Poeo Depame o Sac Uve o Kahm Saga Ida 3 Depame o Mahemac Iamc Uve o Scece

More information

PROPOSING A NEW MODEL ON DATA ENVELOPMENT ANALYSIS BY CONSIDERING NON DISCRETIONARY FACTORS AND A REVIEW ON PREVIOUS MODELS. University,Tehran, Iran.

PROPOSING A NEW MODEL ON DATA ENVELOPMENT ANALYSIS BY CONSIDERING NON DISCRETIONARY FACTORS AND A REVIEW ON PREVIOUS MODELS. University,Tehran, Iran. Maheacal ad Copuaoal Applcao, Vol. 5, No. 3, pp. 344-353, 200. Aocao fo Scefc Reeach PROPOSING A NEW MODEL ON DATA ENVELOPMENT ANALYSIS BY CONSIDERING NON DISCRETIONARY FACTORS AND A REVIEW ON PREVIOUS

More information

ON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT

ON 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 information

Reliability Analysis. Basic Reliability Measures

Reliability Analysis. Basic Reliability Measures elably /6/ elably Aaly Perae faul Πelably decay Teporary faul ΠOfe Seady ae characerzao Deg faul Πelably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

Robust-based Random Fuzzy Mean-Variance Model Using a Fuzzy Reasoning Method

Robust-based Random Fuzzy Mean-Variance Model Using a Fuzzy Reasoning Method Robubaed Rado Fuzzy MeaVaace Model Ug a Fuzzy Reaog Mehod Takah Hauke, Hdek Kaag, Mebe, IAEN, ad Hoh Tuda Abac Th pape code a obubaed ado fuzzy eavaace pofolo eleco poble ug a fuzzy eaog ehod, paculaly

More information

Nonlinear Control of a Single-Link Flexible Joint Manipulator via Predictive Control

Nonlinear Control of a Single-Link Flexible Joint Manipulator via Predictive Control WEA AACO o YEM ad COO.. lle-alcalá. U. ceaa-cao. Alcáaa-amíez. ame-poce olea Cool o a le-k Fleble o Maplao va Pedcve Cool.. E-ACAÁ. U. CEAGA-CAO. ACÁAA-AMÍEZ AD. AME-POCE Depaameo de Elecóca Gpo Cool de

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose 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 information

Competitive Facility Location Problem with Demands Depending on the Facilities

Competitive Facility Location Problem with Demands Depending on the Facilities Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg

More information

Chapter 2: Descriptive Statistics

Chapter 2: Descriptive Statistics Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate

More information

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae

More information

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method

New 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 information

A NEW FORMULAE OF VARIABLE STEP 3-POINT BLOCK BDF METHOD FOR SOLVING STIFF ODES

A NEW FORMULAE OF VARIABLE STEP 3-POINT BLOCK BDF METHOD FOR SOLVING STIFF ODES Joual of Pue ad Appled Maemac: Advace ad Applcao Volume Numbe Page 9-7 A NEW ORMULAE O VARIABLE STEP -POINT BLOCK BD METHOD OR SOLVING STI ODES NAGHMEH ABASI MOHAMED BIN SULEIMAN UDZIAH ISMAIL ZARINA BIBI

More information

A Simplified Higher-Order Markov Chain Model

A Simplified Higher-Order Markov Chain Model Wold Acadey o Scece Egeeg ad ecology Ieaoal Joual o Maeacal ad Copuaoal Scece Vol:7 No: A Spled Hge-Ode Maov Ca Model Cao Wag g-zu Huag Ce Ja Ieaoal Scece Ide Maeacal ad Copuaoal Scece Vol:7 No: waeog/ublcao/99967

More information

Advanced Particle Physics & Introduction to Standard Model: II. Prerequisites

Advanced Particle Physics & Introduction to Standard Model: II. Prerequisites vace Pacle Phyc & Iouco o Saa oel: II. Peeque J. Pawlowk / U. Uwe II. Peeque. Relavc keac. Wave eco o ee acle. o elavc eubao heoy. Scaeg a a ao alue 5. o eco a hae ace 6. ecay wh lee a alz lo Leaue: F.

More information

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2)

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2) Ieaoal Reeach Joual of Egeeg ad Techology (IRJET) e-issn: 9 - Volume: Iue: May- www.e.e -ISSN: 9-7 O he Qua-Hyebolc Kac-Moody lgeba QH7 () Uma Mahewa., Khave. S Deame of Mahemac Quad-E-Mllah Goveme College

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

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

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain So Aedx Te og Ia o a Mxe o Ode-Sea a Maae-Reale Sye Aa V Iye ad Ava Ja Teoe 4: e ad q be e obably geeag o o e eady-ae be o ode ee e ye by a avg H ode ad a M ode eevely Te ad q Wee ad be e ee oo o e ollowg

More information

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least 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 information

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,

More information

A PATRA CONFERINŢĂ A HIDROENERGETICIENILOR DIN ROMÂNIA,

A PATRA CONFERINŢĂ A HIDROENERGETICIENILOR DIN ROMÂNIA, A PATRA ONFERINŢĂ A HIDROENERGETIIENILOR DIN ROMÂNIA, Do Pael MODELLING OF SEDIMENTATION PROESS IN LONGITUDINAL HORIZONTAL TANK MODELAREA PROESELOR DE SEPARARE A FAZELOR ÎN DEANTOARE LONGITUDINALE Da ROBESU,

More information

Removing Timed Delays in Stochastic Automata*

Removing Timed Delays in Stochastic Automata* Remov Tmed Delay Sochac Auomaa* Fda Kamal Daka, Geo V. Bochma School of Ifomao Techoloy ad Eee SITE Uvey of Oawa {fdaka,bochma}@e.uoawa.ca Abac: We pee a mehod o emove med delay med eal aco fom a ube of

More information

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling I.J.Curr.crobol.App.Sc (08) 7(): 808-85 Ieraoal Joural of Curre crobolog ad Appled Scece ISS: 39-7706 olue 7 uber 0 (08) Joural hoepage: hp://www.jca.co Orgal Reearch Arcle hp://do.org/0.0546/jca.08.70.9

More information

Exponential Synchronization of the Hopfield Neural Networks with New Chaotic Strange Attractor

Exponential Synchronization of the Hopfield Neural Networks with New Chaotic Strange Attractor ITM Web of Cofeeces, 0509 (07) DOI: 0.05/ mcof/070509 ITA 07 Expoeal Sychozao of he Hopfeld Neual Newos wh New Chaoc Sage Aaco Zha-J GUI, Ka-Hua WANG* Depame of Sofwae Egeeg, Haa College of Sofwae Techology,qogha,

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

More information

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a)

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a) Ieol Jol o Se Reeh Pblo Volme Ie 5 y ISSN 5-5 FRACTIONAL ELLIN INTEGRAL TRANSFOR IN / S.. Kh R..Pe* J.N.Slke** Deme o hem hh Aemy o Egeeg Al-45 Pe I oble No.: 98576F No.: -785759 Eml-mkh@gml.om Deme o

More information

RATIONAL APPROXIMATION AND IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS

RATIONAL APPROXIMATION AND IDENTIFICATION OF DISTRIBUTED PARAMETER SYSTEMS oeed of he 7h Wold Coe he Ieaoal edeao of Auoa Cool RAIOAL AROXIAIO AD IDEIICAIO O DISRIBUED ARAEER SYSES V Gubaev O Zhukov Sae Reeah Iue of ASU SAU 4 Aad Gluhkov Kev 368 S Ukae e-al: vf@aekevua Aba: he

More information

The Solutions of Initial Value Problems for Nonlinear Fourth-Order Impulsive Integro-Differential Equations in Banach Spaces

The Solutions of Initial Value Problems for Nonlinear Fourth-Order Impulsive Integro-Differential Equations in Banach Spaces WSEAS TRANSACTIONS o MATHEMATICS Zhag Lglg Y Jgy Lu Juguo The Soluos of Ial Value Pobles fo Nolea Fouh-Ode Ipulsve Iego-Dffeeal Equaos Baach Spaces Zhag Lglg Y Jgy Lu Juguo Depae of aheacs of Ta Yua Uvesy

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES Available olie a h://sciog Egieeig Maheaics Lees 2 (23) No 56-66 ISSN 249-9337 ABSLUE INDEED SUMMABILIY FACR F AN INFINIE SERIES USING QUASI-F-WER INCREASING SEQUENCES SKAIKRAY * RKJAI 2 UKMISRA 3 NCSAH

More information

On One Property of the Wiener Integral and its Statistical Application

On One Property of the Wiener Integral and its Statistical Application saqatvelos eceebata eovl aaes oabe # 9 BUETIN OF THE GEORGIAN NATIONA AADEM OF SIENES vol o 9 Maheacs O Oe Pope o he Wee Ieal a s Sascal Applcao Pee Babla* Elzba Naaaa** Mzeva Pasasa & Gol Sohaze # * I

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

Convolution of Generated Random Variable from. Exponential Distribution with Stabilizer Constant

Convolution 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 information

Nilpotent Elements in Skew Polynomial Rings

Nilpotent Elements in Skew Polynomial Rings Joural of Scece, Ilac epublc of Ira 8(): 59-74 (07) Uvery of Tehra, ISSN 06-04 hp://cece.u.ac.r Nlpoe Elee Sew Polyoal g M. Az ad A. Mouav * Depare of Pure Maheac, Faculy of Maheacal Scece, Tarba Modare

More information

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109

The far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109 Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao

More information

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions

Some Integrals Pertaining Biorthogonal Polynomials and Certain Product of Special Functions Global Joual o Scece Fote Reeach atheatc ad Deco Scece Volue Iue Veo Te : Double Bld ee Reewed Iteatoal Reeach Joual ublhe: Global Joual Ic SA Ole ISSN: 49-466 & t ISSN: 975-5896 Soe Itegal etag Bothogoal

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

IMPROVING LINEARITY AND SENSITIVITY IN LOW NOISE AMPLIFIERS

IMPROVING LINEARITY AND SENSITIVITY IN LOW NOISE AMPLIFIERS Pceed f he 6h WSEAS eaal Cfeece Appled fac ad Cuca Eluda eece Auu 8-0 006 pp6-0 MPON LNEATY AND SENSTTY N LOW NOSE AMPLES EDA ALEJANDO ANDADE ONZÁLEZ MAO EYES AYALA JOSÉ ALEDO TADO MÉNDEZ Elecc Depae Mepla

More information

The Log-Gamma-Pareto Distribution

The Log-Gamma-Pareto Distribution aoa Joa of Scc: Bac ad Appd Rach JSBAR SSN 37-453 P & O hp:odphp?oajoaofbacadappd ---------------------------------------------------------------------------------------------------------------------------

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

University of Pavia, Pavia, Italy. North Andover MA 01845, USA

University of Pavia, Pavia, Italy. North Andover MA 01845, USA Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS 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 information

Option Pricing in a Fractional Brownian Motion Environment

Option 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 information

The conditional density p(x s ) Bayes rule explained. Bayes rule for a classification problem INF

The conditional density p(x s ) Bayes rule explained. Bayes rule for a classification problem INF INF 4300 04 Mulvarae clafcao Ae Solberg ae@fuoo Baed o Chaper -6 Duda ad Har: Paer Clafcao Baye rule for a clafcao proble Suppoe we have J, =,J clae he cla label for a pel, ad he oberved feaure vecor We

More information

Cameras and World Geometry

Cameras and World Geometry Caeas ad Wold Geoe How all is his woa? How high is he caea? Wha is he caea oaio w. wold? Which ball is close? Jaes Has Thigs o eebe Has Pihole caea odel ad caea (pojecio) ai Hoogeeous coodiaes allow pojecio

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical 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 information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

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

M-ary Detection Problem. Lecture Notes 2: Detection Theory. Example 1: Additve White Gaussian Noise

M-ary Detection Problem. Lecture Notes 2: Detection Theory. Example 1: Additve White Gaussian Noise Hi ue Hi ue -ay Deecio Pole Coide he ole of decidig which of hyohei i ue aed o oevig a ado vaiale (veco). he efoace cieia we coide i he aveage eo oailiy. ha i he oailiy of decidig ayhig ece hyohei H whe

More information

World Academy of Science, Engineering and Technology International Journal of Electrical and Computer Engineering Vol:7, No:12, 2013 (7)

World Academy of Science, Engineering and Technology International Journal of Electrical and Computer Engineering Vol:7, No:12, 2013 (7) Wold Academy o Scece Egeeg ad echology Ieaoal Joual o Eleccal ad Compue Egeeg Vol:7 No: 3 Modellg o Iduco Moo Icludg Skew Eec Ug MWFA o Peomace Impoveme M. Ha A. Bedabdellah A. Chaouch N. Beouzza Ieaoal

More information

Comparing Different Estimators for Parameters of Kumaraswamy Distribution

Comparing Different Estimators for Parameters of Kumaraswamy Distribution Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig

More information

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore

More information

Chapter 5 Transmission Lines

Chapter 5 Transmission Lines ap 5 ao 5- aacc of ao ao l: a o cou ca cu o uppo a M av c M o qua-m o. Fo M o a H M H a M a µ M. cu a M av av ff caacc. A M av popaa o ff lcc a paal flco a paal ao ll occu. A ob follo ul. ll la: p a β

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

More information

ESTIMATION AND TESTING

ESTIMATION AND TESTING CHAPTER ESTIMATION AND TESTING. Iroduco Modfcao o he maxmum lkelhood (ML mehod of emao cera drbuo o overcome erave oluo of ML equao for he parameer were uggeed by may auhor (for example Tku (967; Mehrora

More information

Fault-tolerant Output Feedback Control for a Class of Multiple Input Fuzzy Bilinear Systems

Fault-tolerant Output Feedback Control for a Class of Multiple Input Fuzzy Bilinear Systems Sesos & asduces Vol 7 Issue 6 Jue 04 pp 47-5 Sesos & asduces 04 by IFSA Publshg S L hp://wwwsesospoalco Faul-olea Oupu Feedbac Cool fo a Class of Mulple Ipu Fuzzy Blea Syses * YU Yag WAG We School of Eleccal

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

CONTROL ROUTH ARRAY AND ITS APPLICATIONS

CONTROL ROUTH ARRAY AND ITS APPLICATIONS 3 Asa Joual of Cool, Vol 5, No, pp 3-4, Mach 3 CONTROL ROUTH ARRAY AND ITS APPLICATIONS Dazha Cheg ad TJTa Bef Pape ABSTRACT I hs pape he Rouh sably ceo [6] has bee developed o cool Rouh aay Soe foulas

More information

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of

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

Example: Two Stochastic Process u~u[0,1]

Example: 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 information

Physics 15 Second Hour Exam

Physics 15 Second Hour Exam hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

Exact Moments of Record Values from Burr Distribution. with Applications

Exact Moments of Record Values from Burr Distribution. with Applications Ieo Jou of Comuo d Theoec Sc ISSN -59 I. J. Com. Theo. S. No. Nov-5 Ec Mome of Recod Vue fom Bu Dbuo wh Aco M. J. S. Kh A. Shm M. I. Kh d S. Kum 3 Deme of Sc d Oeo Reech Agh Mum Uve Agh Id Deme of Mhemc

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Increasing the Image Quality of Atomic Force Microscope by Using Improved Double Tapered Micro Cantilever

Increasing the Image Quality of Atomic Force Microscope by Using Improved Double Tapered Micro Cantilever Rece Reseaces Teecocaos foacs Eecocs a Sga Pocessg ceasg e age Qa of oc Foce Mcope Usg pove oe Tapee Mco aeve Saeg epae of Mecaca Egeeg aava Bac sac za Uves aava Tea a a_saeg@aavaa.ac. sac: Te esoa feqec

More information

DUALITY IN MULTIPLE CRITERIA AND MULTIPLE CONSTRAINT LEVELS LINEAR PROGRAMMING WITH FUZZY PARAMETERS

DUALITY IN MULTIPLE CRITERIA AND MULTIPLE CONSTRAINT LEVELS LINEAR PROGRAMMING WITH FUZZY PARAMETERS Ida Joual of Fudameal ad ppled Lfe Sceces ISSN: 223 6345 (Ole) Ope ccess, Ole Ieaoal Joual valable a www.cbech.o/sp.ed/ls/205/0/ls.hm 205 Vol.5 (S), pp. 447-454/Noua e al. Reseach cle DULITY IN MULTIPLE

More information

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem

More information

φ (x,y,z) in the direction of a is given by

φ (x,y,z) in the direction of a is given by UNIT-II VECTOR CALCULUS Dectoal devatve The devatve o a pot ucto (scala o vecto) a patcula decto s called ts dectoal devatve alo the decto. The dectoal devatve o a scala pot ucto a ve decto s the ate o

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

More information

CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE

CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE Fameal Joal of Mahemaic a Mahemaical Sciece Vol. 7 Ie 07 Page 5- Thi pape i aailable olie a hp://.fi.com/ Pblihe olie Jaa 0 07 CHATTERJEA CONTRACTION MAPPING THEOREM IN CONE HEPTAGONAL METRIC SPACE Caolo

More information

T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )

T T V e g em D e j ) a S D } a o m ek j g ed b m d mq m [ d, ) . ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X

More information

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS

NONDIFFERENTIABLE MATHEMATICAL PROGRAMS. OPTIMALITY AND HIGHER-ORDER DUALITY RESULTS HE PUBLISHING HOUSE PROCEEDINGS OF HE ROMANIAN ACADEMY, See A, OF HE ROMANIAN ACADEMY Volue 9, Nube 3/8,. NONDIFFERENIABLE MAHEMAICAL PROGRAMS. OPIMALIY AND HIGHER-ORDER DUALIY RESULS Vale PREDA Uvety

More information

The Solution of Heat Conduction Equation with Mixed Boundary Conditions

The Solution of Heat Conduction Equation with Mixed Boundary Conditions Joul of Mhec d Sc (: 346-35, 6 ISSN 549-3644 6 Scece Publco The Soluo of He Coduco Equo wh Mxed Bou Codo Ne Abdelzq Dee of Bc d Aled Scece, Tfl Techcl Uvey PO Box 79, Tfl, Jod Abc: The u devoed o deee

More information

The Properties of Probability of Normal Chain

The Properties of Probability of Normal Chain I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co

More information

A Robust Fuzzy Control Approach to Stabilization of Nonlinear Time-delay Systems with Saturating Inputs

A Robust Fuzzy Control Approach to Stabilization of Nonlinear Time-delay Systems with Saturating Inputs 5 eaoa Joua of uzzy ye o o ach 8 Robu uzzy Coo ppoach o abzao of oea e-deay ye wh auag pu Che-heg g bac h pape dea wh he abzao of ucea oea e-deay ye ubec o pu auao oea e-deay ye f epeeed by akag-ugeo -

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Super-efficiency infeasibility and zero data in DEA: An alternative approach [Type text] [Type text] [Type text] ISSN : 0974-7435 Volue 0 Iue 7 BoTechology 204 A Ida Joual FULL PAPER BTAIJ, 0(7), 204 [773-779] Supe-effcecy feablty ad zeo data DEA: A alteatve appoach Wag Q, Guo

More information

β A Constant-G m Biasing

β A Constant-G m Biasing p 2002 EE 532 Anal IC Des II Pae 73 Cnsan-G Bas ecall ha us a PTAT cuen efeence (see p f p. 66 he nes) bas a bpla anss pes cnsan anscnucance e epeaue (an als epenen f supply lae an pcess). Hw h we achee

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

Application of second derivative Runge-Kutta collocation methods to stiff systems of initial value problems

Application of second derivative Runge-Kutta collocation methods to stiff systems of initial value problems eoado Joal o See ISSN 8- Ie 8 Jaa-Je. - Alao o eod deae Re-Ka olloao meod o em o al ale oblem Samala ARKUS ad Dada Glb AKUBU * Deame o aema ad Sa Ue o ad PB 9 ad Boo Sae Nea Deame o aemaal See Abbaka Taawa

More information