A new mixed beta distribution and structural properties with applications
|
|
- Geoffrey Williams
- 5 years ago
- Views:
Transcription
1 Sogklaakar J. Sc. Tchol. 37 (, 97-08, Ja. - F Orgal Artcl A w xd ta dstruto ad structural proprts wth applcatos Tpagor Isuk, Wa Bodhsuwa 2, ad Urawa Jaroratku * Dpartt of Appld Statstcs, Faculty of Appld Scc, Kg Mogkut s Uvrsty of Tchology North Bagkok, Bag Su, Bagkok, 0800 Thalad. 2 Dpartt of Statstcs, Faculty of Scc, Kastsart Uvrsty, Chatuchak, Bagkok, 0900 Thalad Rcvd: 27 Ju 204; Accptd: 2 Dcr 204 Astract I ths papr, w troduc a w sx-paratr dstruto, aly Bta Expotatd Wull Posso (BEWP whch s otad y copoudg tw th xpotatd Wull Posso ad ta dstrutos. W propos ts asc structural proprts such as dsty fucto ad ots for ths w dstruto. W r-xprss th BEWP dsty fucto as a EWP lar coato, ad us ths to ota ts ots. I addto, t also cotas svral su-odls that ar wll kow. Morovr, w apply th axu lklhood thod to stat paratrs, ad applcatos to ral data sts show th suprorty of ths w dstruto y coparg th ftss wth ts su-odls. Kywords: ta xpotatd wull posso, ta-g dstruto. Itroducto For or tha a dcad, Wull dstruto has appld xtsvly ay aras ad or partcularly usd th aalyss of lft data for rlalty grg or ology (R, Howvr, th Wull dstruto has a wakss for odlg phoo wth o-ooto falur rat. Thrfor Mudholkar ad Srvastava (993 proposd th xpotatd Wull (EW dstruto that s a xtso of th Wull faly, otad y addg a scod shap paratr. Th t s flxl to odl survval data whr th falur rat ca crasg, dcrasg, athtu shap, or uodal (Mudholkar t al., 995. Lt W a rado varal of th EW dstruto. Th th cuulatv dstruto fucto (cdf ad proalty dsty fucto (pdf of W ar gv y w F w, w 0, * Corrspodg author. Eal addrss: ur@kut.ac.th whr a,,q >0 ad w w f w w, w 0, rspctvly. For survval aalyss, thr ar portat aalytcal fuctos such as survval ad hazard rat fuctos gv y ad S w w w w w hw w. rspctvly. Rctly, ay rsarchrs hav attptd to odfy EW dstruto wth dffrt tchqus y usg EW as th asl dstruto to dvlop or flxlty. Pho t al. (202 proposd gaa xpotatd Wull, Sgla t al. (202 studd ta gralzd Wull (BGW, Cordro t al. (203 troducd th ta xpotatd Wull (BEW ad xpotatd Wull Posso (EWP
2 98 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, 205 was proposd y Mahoud ad Spahdar (203. I ths papr, w propos a w flxl sx-paratr dstruto calld Bta Expotatd Wull Posso (BEWP dstruto. Th purpos of ths study s to crat a w dstruto y xg EWP dstruto ad th ta dstruto. So proprts of ths w dstruto wll vstgatd. Th BEWP dstruto s dvlopd y usg th Bta-G dstruto class that was troducd y Eug t al. (2002 who also proposd th ta oral (BN dstruto. Th, usg th Bta-G dstruto class was appld to crat a w dstruto xtsvly. For xapl, Nadaraah ad Gupta (2004 proposd th ta Frcht (BF dstruto ad Nadaraah ad Kotz (2004 studd th ta Gul (BGu dstruto. Nadaraah ad Kotz (2006 troducd th ta xpotal (BE dstruto, L t al. (2007 proposd th Bta Wull (BW, Mahoud (20 proposd th Bta Gralzd Parto (BGP, BGW or BEW ad Prcot t al. (203 studd th Bta Wull Posso (BWP. Th EWP dstruto fts th skwd data (Mahoud ad Spahdar, 203 ad t s usful for solvg copltary rsks prol (Basu ad Kl, 982 th prsc of latt rsks, th ss that thr s o forato aout whch factor s rsposl for th copot falur ad oly th axu lft valu aog all rsks s osrvd. Mxg th EWP dstruto wth th ta dstruto causs th two addtoal shap paratrs whch srv to cotrol skwss ad tal wghts of EWP dstruto. As a rsult, BEWP dstruto s th gralzd dstruto that has a wd varty trs of shap of th dstruto, so t s a flxl altratv for applcatos grg ad ology. I grg applcatos, th BEWP dstruto ca ployd rlalty aalyss, such as product rlalty ad syst rlalty. Prcot t al. (203 appld th BWP dstruto to th atac data o actv rpar ts for aror coucato. I addto, for ology or dcal scc, w ay apply to survval aalyss.g. Mudholkar t al. (996 appld th gralzd Wull dstruto fttg th ral survval t data of th patts who wr gv radato thrapy ad chothrapy fro had ad ck cacr clcal tral. Dasgupta t al. (200 studd th charactrstcs of coroary artry calcu whch s a arkr of coroary artry dsas. Ths appars to a Wull dstruto ad a Wull rgrsso odl was proposd to xa factors flucg th dsas. Ortga t al. (203 dvlopd th ta Wull dstruto to th log-ta Wull dstruto ad studd th log-ta Wull rgrsso odl wth applcato to prdct rcurrc of prostat cacr. Th rst of ths papr s orgazd th followg squc. Scto 2 dscusss aout th xpotatd Wull Posso (EWP dstruto that s usd as th asl to dvlop th BEWP dstruto. Th proalty dsty fucto (pdf ad cuulatv dsty fucto (cdf ar troducd Scto 3. Scto 4 gvs a suary of su-odls of BEWP th for of tal ad chart whr svral su-odls ar wll kow. Scto 5 dscusss th ot gratg fucto (gf ad th ot. I Scto 6 w apply th axu lklhood thod to stat paratrs, ad Scto 7 copars th su-odls of th BEWP dstruto y th applcatos to ral data sts. So cocludg rarks ar gv Scto Th Expotatd Wull Posso dstruto Lt W, W2, W3,..., W z dpdt ad dtcally dstrutd rado varals fro xpotatd Wull dstruto wth pdf w w f w;,, w, w 0, ad Z, whch s dpdt fro W s, a rado varal fro zro trucatd Posso dstruto wth proalty ass fucto (pf z p z; z, 0, z,2,3,... whr s th gaa fucto. Prcot t al. (203 dscrd th odl for X W, W2,..., Wz ad X = ax W, W2,..., W z that ca usd sral ad paralll syst wth dtcal copots, whch appar ay dustral applcatos ad ologcal orgass. For ths odl, w df. W assu th falur occurs aftr all Z factors hav actvatd. Th w ota ( z g x z;,, z w u u u, x 0, x whr u ad th argal pdf of X s, 0, u g x x u u x ad th cdf of X s u G x. (2 Th w tak ths pdf ad cdf of EWP to th asl for cratg th w Bta-G dstruto th xt scto. W apply th trprtato of th EWP fro Adads ad Loukas (998, that th falur (of a dvc, for xapl occurs du to th prsc of a ukow ur, Z, of tal dfcts of th sa kd (a ur of scoductors fro a dfctv lot, for stac. Th W s rprst thr lfts ad ach dfct ca dtctd oly aftr causg falur, whch cas t s rpard prfctly. 3. Th Bta Expotatd Wull Posso dstruto Dfto : Lt F(x th cdf of a rado varal X. Accordg to Eug t al. (2002, th cdf for a gralzd class of dstrutos ca dfd as th logt of ta rado varal y (
3 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, Gx a, 0, (3 0 F x w w dw x whr a,>0. G(x dots th proalty dstruto of th gralzd class of dstruto. Th pdf of X s gv y (for or dtals s Mood t al. (974 whr a f x g x G x G x, x 0, (4 g x dg x. dx Thor : Lt X a rado varal of th BEWP dstruto wth paratrs,,,, a ad. Th pdf of X s dfd y f x whr u u a u x u u Ba, (5 u x Proof: Sply y usg Dfto, w ota th pdf of X y susttutg g(x ad G(x fro Eqs.( ad (2 to Eq.(4. Th Eq.(5 s th pdf of BEWP dstruto as th followg proprty. a u u u x u u f xdx dx 0 0 Ba, u lt v, t ca rwrtt as 0 Ba, a v v f xdx dv Not that, w ca df th xpaso of th pdf as th lar coato of EWP dsty fucto as whr,, f x s g( x;,,, (6 s 0 o s (+, (, ( - + ad s Lt a o-tgr ral ur ad w. Gx a F x w w dw a x 0,,, 0 By usg th spcal cas of oal thor ( w, w 0 r. hc Gx a F x w ( w dw Ba, 0 0 ( G x a 0 0 a a c ( a, G x, (7 whr c ( a, (. If s a tgr, th dx a stops at -. W ota f(x for tgr a Cosdr th cas whr th powr of G(x s a o-tgr G x whr d ( ( ( G x 0 (, th w susttut!! G x for G x a Eq. (7, w ota ad F x 0 r ( a, G x f x g(x ( +r ( a, G x 0 whr r ( a, c ( a, d (a+ or whr s 0 f x s ( +g(xg x 0, r ad w ca xprss pdf of BEWP ds- truto trs of a lar coato of EWP dstruto as u u x u u f x s ( o s ( + ( ( - + u ( - + x u u, s ( + (, u, x u u, 0 o ( - +
4 00 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, o s g( x;,,,,, whr ad s, s ( +, (, ( - + To show th varous of shaps of th dstruto, so spcfd paratrs of th BEWP dstruto ad thr dsty fuctos ar provdd Fgur : (a Fx paratrs = 4, = 0.5, =.5, = 0.5 ad vary paratrs a ad, ad ( Fx paratrs a = 2, = 2 ad vary paratrs,, ad. Thus, th BEWP dstruto ca sutal for fttg to varous shaps of data, for xapl whr th paratrs a = 2, = 2, = 4, = 0.5, =.5, = 0.5. Ths dstruto s sutal for fttg skwd data ad t s sutal for fttg uodal data wh th paratrs a = 2, = 2, = 0.5, = 2, = 0., = 5. Accordg to Fgur, BEWP dstruto ca a faly of dstrutos cotag 32 su-odls whch wll dscussd Scto 4. Thor 2: Lt X a rado varal of a BEWP dstruto wth paratrs,,,,a ad. Th cdf of X s gv y or whr u ( /( a (8 0 F x w w dw u F x I ( a, (9 u x ( /( Proof: Sply y usg Dfto aga, w ca df th cdf of X y rplacg G(x fro Eq.(2 Eq.(3, hc th cdf of BEWP dstruto s as otad Eq.(8. Not that, w ca df th xpaso of th cdf as th lar coato of EWP dsty fucto gv y F(x s G( x;,,, (0 0 0 y tgratg f(x Eq.(6 x,, F(x s g( x;,,,,, s x, Su-odls s,,, u,, u x u u,,, s G( x;,,, Ths w dstruto cossts of a total of 32 sudstruto odls as show Fgur 2 ad Tal. I Tal, th su-odls assocatd wth Posso dstruto, ar assgd whch asd o th paralll copots syst coply wth BEWP dstruto that s udr th sa assupto. For, w also rfr to th Rfrcs colu ad ark wth th astrsk syol (* Tal. 5. Mot Gratg Fucto ad Mot Thor 3: Lt X a rado varal of a BEWP dstruto wth paratrs,,,, a ad. Th ot gratg fucto (gf of X ca gv y dx Fgur. Dsty fucto of th BEWP dstruto.
5 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, Fgur 2. Th su-odl chart of BEWP dstruto Tal. Th su-odl tal of BEWP dstruto. 5 paratrs paratrs Dstruto F(x Rfrcs a. Bta Expotatd a 2 F( x I 2 a, ( x Raylgh Posso (BERP 2. Bta Expotatd a Expotal Posso (BEEP F ( x I a, ( x 3. Bta Wull Posso a F( x I a, Prcot t al. (203* ( x (BWP 4. Bta Expotatd a 0 F( x I a, Wull (BEW 4 paratrs 5. Bta Raylgh Posso a 2 (BRP Sgla t al. (202, x ( Cordro t al. (203 F( x I a, 2 x ( 6. Bta Expotal Posso a F( x I x a, (BEP 7. Gralzd Wull a Posso (GWP F( x ( ( x a x ( 8. Expotatd Wull F( x Mahoud ad Posso (EWP Spahdar (203
6 02 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, 205 Tal. Cotud paratrs Dstruto F(x Rfrcs a 9. Gralzd Expotatd a 0 Wull (GEW F( x x a 0. Bta Expotatd a 2 0 F( x I ( a, ( x 2 Raylgh (BER Cordro t al. (203a. Bta Expotatd a 0 F( x I a, x Barrto-Souza t al. Expotal (BEE ( Bta Wull (BW a 0 F ( x I a, L t al. (2007 x 3 paratrs 2 a x ( 3. Gralzd Raylgh a 2 F( x Posso (GRP x a ( 4. Gralzd Expotal a F( x Barrto-Souza, ad Posso (GEP Crar-Nto (2009 ( 5. Expotatd 2 F( x Mahoud ad Spahdar Raylgh Posso (ERP ( Expotatd Expotal Posso (EEP 7. Wull (WP 8. Expotatd Wull 0 (EW 9. Gralzd Wull(GW a Gralzd Expotatd a 2 0 Raylgh(GER 2. Gralzd Expotatd a 0 Expotal(GEE F( x F( x x 2 ( x ( x x Prcot t al. (203*, Rstæ ad Nadaraah (204*, Mahoud ad Spahdar (203 Hat t al. (20*, Lu ad Sh (202*, Mahoud ad Spahdar (203 F( x ( Mudolkar ad Srvastava (993 cocd wth GW a x F( x Mudolkar ad Srvastava (993 cocd wth EW x 2 a F( x Cordro t al. (203a F( x a x 22. Bta Raylgh (BR a 2 0 F( x I 2 a, x 23. Bta Expotal(BE a 0 F ( x I, x a 2 paratrs 24. Raylgh Posso (RP Expotal Posso (EP 26. Wull (W 0 F ( x F( x x ( 2 x ( Nadaraah ad Kotz (2006 Mahoud ad Spahdar (203 Kus (2007*, Cacho t al. (20 x Mudolkar ad Srvastava (993 F( x (
7 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, Tal. Cotud paratrs Dstruto F(x Rfrcs a 27. Expotatd Raylgh 2 0 (ER 28. Gralzd Raylgh (GR a Expotatd Expotal 0 (EE 30. Gralzd Expotal a 0 (GE 3. Raylgh(R Expotal(E 0 x 2 F( x Kudu ad Raqa (2005 cocd wth GR 2 a Kudu ad Raqa (2005 cocd wth ER F( x x x Gupta ad Kudu (999 cocd wth GE a Gupta ad Kudu (999 cocd wth EE 2 Johso t al. (994 Johso t al. (994 F( x ( F( x x F( x x F( x x X M t t ( 0 whr,, l,, ad = 0,,2,, l, 0 0 Proof: To fd th gf of BEWP dstruto, w apply th dfto of gf to th lar coato of EWP dsty fucto as tx, ;,,,, M t s g x dx X BEWP s M, X EWP, t;,,,, whr Mahoud ad Spahdar (203 drvd that,, l M X t l EWP, W ca rduc to t. 0 0 l0!! l M X t,,,,, BEWP l t, l,, 0 0 whr s,, l,, l,, l.,!! l Ad w ca rduc aga to M X t t BEWP 0 whr,, l,, ad = 0,,2,, l, 0 0 Thor 4: Lt X a rado varal of a BEWP dstruto wth paratrs,,,,a ad. Th ot of X ca wrtt as E X s!,, l l,,, l 0 0 l (2 Proof: To fd th ot of BEWP dstruto, w apply th dfto of ot aga to th lar coato of EWP dsty fucto as, ;,,,, E X s x g x dx BEWP s E X ;,,,,, EWP, whr Mahoud ad Spahdar (203 drvd that EEWP X l!, l., 0 0 l So w ca ota th ot of BEWP dstruto as E X, s, l l.,,, l 0 0! l Th w ca fd varac, skwss ad kurtoss of rado varal X y usg th wll-kow rlatoshp of ach ot. 6. Paratr Estato I ths scto, w suppos that th sapl sz was T draw fro BEWP dstruto, ad lt π,,,, a, th paratr vctor. Th th log-lklhood fucto of
8 04 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, 205 BEWP s gv y,,,,, log log log log log, l a B a whr u u x u u a log log u log a log x. So th lts of scor vctor l l l l l l U,,,,, a whr l log u u T a u u log u u u log u u x u logx log x x l log log log u x u log x log u x a x u log x log u u x x u log x log u l u u u x x x u a x u u x x u x u u u l a a u u u u u u l u a a log log a l u a log log Γ ( x whr x s th dgaa fucto. Th axu Γ( x T lklhood stator π ˆ ˆ, ˆ, ˆ, ˆ, aˆ, ˆ s th soluto to th aov scor quatos that ar calculatd y usg Nwto-Raphso thod R packag (R Cor Ta, Applcatos I ths scto, to rval th suprorty of BEWP dstruto, w ft a BEWP odl to two ral data sts fro th applcato of EWP (Mahoud ad Spahdar, 203. Th frst applcato, w study th skwd data rprstg strgths of.5 c glass frs, asurd at th Natoal Physcal Laoratory, Eglad, whch ar gv Tal 2. Ufortuatly, th uts of asurt ar ot gv th papr. For th scod applcato, w xa th data showg th strss-ruptur lf of Kvlar 49/poxy strads (ut: hours whch wr suctd to costat sustad prssur at th 90 strss lvl utl all had fald as dsplayd Tal 3. W ft th BEWP dstruto to aov two data sts ad copar th ftss wth ts su-odls that ar BWP, BEW, BEE, EWP, EW, EE cludg Wull dstruto y cosdrg th p-valu of Kologorov-Srov (K-S statstcs. Th axu lklhood stats of th paratrs, th K-S statstcs ad th corrspodg p-valu for th fttd odls ar show for data sts I ad II Tals 3 ad 4, rspctvly. Graphcal approach s th aothr way to xprss ths data sts ft wth ths dstruto. W also prst th coparso of th prcal cdf wtth ach statd cdf Fgur 3. It shows th fttg of data to proposd odls. Th proalty plots of th BEWP dstruto corrspodg to data sts I ad II Fgur 4 dcat that (a ost data l aroud th straght l spcally th ddl 50% of th data, ad ( th frst 75% of th data l o th straght l ad th last 25% of th data l aov, whch suggsts a slght rght-skwss. It ss rasoal to ttatvly coclud that oth data sts ar BEWP dstruto. 8. Cocluso For ths papr, a w sx-paratr dstruto, aly BEWP s studd. It s otad y copoudg ta ad xpotatd Wull Posso dstrutos. W troduc ts asc athatcal proprts such as dsty fucto. W show that th pdf of BEWP dstruto ca xprssd th lar coato for of EWP dstruto cludg ts ots. Morovr, t also cotas th ay su-odls that ar wll kow. Fally, w hav appld th Tal 2. Strgths of.5 c glass frs
9 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, Tal 3. Strss-ruptur lf of Kvlar 49/poxy strads (ut: hours Tal 4. MLE ad K-S statstcs wth corrspodg p-valus for th strgths of.5 c glass frs. Fttg Dstruto Paratrs a K-S p-valu BEWP BWP BEW BEE EWP EW EE Wull axu lklhood thod to stat paratrs ad ft th BEWP dstruto to two ral data sts. W copard th rsults wth ts su-odls such as BWP, BEW, BEE, EWP, EW, EE ad Wull dstruto. Th rsults showd that BEWP dstruto provds a ttr ft tha xstg xturs of th EW or Wull dstruto ad so wllkow su-odls. Ackowldgts Th authors would lk to thak th rfrs ad th dtor for valual cots ad suggstos to prov ths work. Rfrcs Adads, K. ad Loukas, S A lft dstruto wth dcrasg falur rat. Statstcs ad Proalty Lttrs. 39, Barrto-Souza, W. ad Crar-Nto, F A gralzato of th xpotal-posso dstruto. Statstcs ad Proalty Lttrs. 79, Barrto-Souza, W., Satos, A.H.S. ad Cordro, G.M Th ta gralzd xpotal dstruto. Joural of Statstcal Coputato ad Sulato. 80, Basu, A.P. ad Kl, J.P So rct rsults coptg rsks thory. Survval Aalyss. 2, Cacho, V.G., Louzada-Nto, F. ad Barrga, G.D.C. 20. Th Posso-xpotal lft dstruto. Coputatoal Statstcs ad Data Aalyss. 55, Cordro, G.M., Crsto, C.T., Hashoto, E.M., ad Ortga, E.M.M. 203 (a. Th ta gralzd Raylgh dstruto wth applcatos to lft data. Statstcal paprs. 54, Cordro, G.M., Gos, A.E., da-slva, C.Q. ad Ortga, E.M.M. 203 (. Th ta xpotatd Wull dstruto. Joural of Statstcal Coputato ad Sulato. 83, Dasgupta, N., X, P., Chy, M.O., Brolg, L. ad Jr., C.H.M Th Spoka hart study: wull rgrsso ad coroary artry dsas. Coucatos Statstcs Sulato ad Coputato. 29,
10 06 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, 205 Fgur 3. Coparso tw pral cdf ad statd cdf of data sts I ad II.
11 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, Fgur 3. Coparso tw pral cdf ad statd cdf of data sts I ad II. (Cotud Fgur 4. Th proalty plot of th BEWP dstruto of data sts I ad II.
12 08 T. Isuk t al. / Sogklaakar J. Sc. Tchol. 37 (, 97-08, 205 Tal 5 MLE ad K-S statstcs wth corrspodg p-valus for th strss-ruptur lf of Kvlar 49/poxy strads (ut: hours Fttg Dstruto Paratrs a K-S p-valu BEWP BWP BEW BEE EWP EW EE Wull Eug, N., L, C. ad Faoy, F Bta-Noral dstruto ad ts applcatos. Coucatos Statstcs - Thory ad Mthods. 3, Gupta, R.D. ad Kudu, D Gralzd xpotal dstrutos. Australa ad Nw Zalad Joural of Statstcs. 4, Hat, F., Khorra, E. ad Rzakhah, S. 20. A w thrparatr agg dstruto. Joural of Statstcal Plag ad Ifrc. 4, Johso, N.L., Kotz, S. ad Balakrsha, N Cotuous Uvarat dstrutos. Wly ad Sos, Nw York, U.S.A.,Vol., pp. 456,494. Kudu, D. ad Raqa, M.Z Gralzd Raylgh dstruto : dffrt thods of statos. Coputatoal Statstcs ad Data Aalyss. 49, Kus, C A w lft dstruto. Coputatoal Statstcs ad Data Aalyss. 5, L, C., Faoy, F. ad Oluolad, O Bta-Wull dstruto: So proprts ad applcatos to csord data. Joural of Modr Appld Statstcal Mthods. 6, Lu, W. ad Sh, D A w copoudg lf dstruto: th Wull-Posso dstruto. Joural of Appld Statstcs. 39, Mahoud, E. 20. Th ta gralzd Parto dstruto wth applcato to lft data. Mathatcs ad Coputrs Sulato. 8, Mahoud, E. ad Spahdar, A Expotatd Wull- Posso dstruto: Modl, proprts ad applcatos. Mathatcs ad Coputrs Sulato. 92, Mood, A.M., Grayll, F.A. ad Bos, D.C.974. Itroducto to th thory of statstcs. McGraw-Hll, Nw York, U.S.A., pp.532. Mudolkar, G.S. ad Srvastava, D.K Expotatd Wull faly for aalyzg athtu falur-rat data. IEEE Trasactos o Rlalty. 42, Mudholkar, G.S., Srvastava, D.K. ad Frr, M Th Expotatd Wull Faly: A raalyss of th us-otor-falur data. Tchotrcs. 37, pp Mudholkar, G.S., Srvastava, D.K. ad Kolla, G.D A gralzato of th Wull dstruto wth applcato to th aalyss of survval data. Joural of th Arca Statstcal Assocato. 9, Nadaraah, S., Gupta, A.K Th ta Frécht dstruto. Th Far East Joural of Thortcal Statstcs. 4, Nadaraah, S., ad Kotz, S Th ta Gul dstruto. Mathatcal Prols Egrg. 0, Nadaraah, S., ad Kotz, S Th ta xpotal dstruto. Rlalty Egrg ad Syst Safty. 9, Ortga, E.M.M., Cordro, G.M., ad Katta M.W Th log-ta Wull rgrsso odl wth applcato to prdct rcurrc of prostat cacr. Statstcal Paprs. 54, Prcot, A., Blas, B. ad Cordro, G.M Th ta Wull Posso dstruto. Chla Joural of Statstcs. 4, Pho, L.G.B., Cordro, G.M., ad Nor, J.S Th Gaa-Expotatd Wull dstruto. Joural of Statstcal Thory ad Applcatos. (4, R Cor Ta, 202. R: A laguag ad vrot for statstcal coputg. R Foudato for Statstcal Coputg, Va, Austra. R, H Th Wull Dstruto: A Hadook, Chapa ad Hall/CRC, U.S.A., pp Rstæ, M.M. ad Nadaraah, S A w lft dstruto. Joural of Statstcal Coputato ad Sulato. 84, Sgla, N., Ja, K. ad Shara, S.K Th Bta Gralzd Wull dstruto: Proprts ad applcatos. Rlalty Egrg ad Syst Safty. 02, 5-5.
Transmuted 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 informationOn the Beta Mekaham Distribution and Its Applications. Chukwu A. U., Ogunde A. A. *
Amrca Joural of Mathmatcs ad Statstcs 25, 5(3: 37-43 DOI:.5923/j.ajms.2553.5 O th Bta Mkaham Dstruto ad Its Applcatos Chukwu A. U., Ogud A. A. * Dpartmt of Statstcs, Uvrsty Of Iada, Dpartmt of Mathmatcs
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationGeneralizedextended Weibull Power Series Family of Distributions
Arca Rvw o Mathatcs ad Statstcs Dcbr 205 Vol. 3 No. 2 pp. 53-68 SSN: 2374-2348 (Prt 2374-2356 (Ol Copyrght Th Author(s. All Rghts Rsrvd. Publshd by Arca Rsarch sttut or Polcy Dvlopt DO: 0.5640/ars.v32a8
More informationSuzan Mahmoud Mohammed Faculty of science, Helwan University
Europa Joural of Statstcs ad Probablty Vol.3, No., pp.4-37, Ju 015 Publshd by Europa Ctr for Rsarch Trag ad Dvlopmt UK (www.ajourals.org ESTIMATION OF PARAMETERS OF THE MARSHALL-OLKIN WEIBULL DISTRIBUTION
More informationA study of stochastic programming having some continuous random variables
Itratoal Joural of Egrg Trds ad Tchology (IJETT) Volu 7 Nur 5 - July 06 A study of stochastc prograg havg so cotuous rado varals Mr.Hr S. Dosh, Dr.Chrag J. Trvd, Assocat Profssor, H Collg of Corc Navragura,
More informationON ESTIMATION OF STRESS STRENGTH MODEL FOR GENERALIZED INVERTED EXPONENTIAL DISTRIBUTION
Joural of Rlablt ad Statstcal Studs; ISSN Prt: 974-84, Ol:9-5666 Vol. 6, Issu 3: 55-63 ON ESTIMATION OF STRESS STRENGTH MODEL FOR GENERALIZED INVERTED EXPONENTIAL DISTRIBUTION Mohad A. Hussa Dpartt of
More information3.4 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 informationOdd 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 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 informationTolerance Interval for Exponentiated Exponential Distribution Based on Grouped Data
Itratoal Rfrd Joural of Egrg ad Scc (IRJES) ISSN (Ol) 319-183X, (Prt) 319-181 Volum, Issu 10 (Octobr 013), PP. 6-30 Tolrac Itrval for Expotatd Expotal Dstrbuto Basd o Groupd Data C. S. Kaad 1, D. T. Shr
More informationTotal Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are
Itratoal Joural Of Computatoal Egrg Rsarch (crol.com) Vol. Issu. 5 Total Prm Graph M.Rav (a) Ramasubramaa 1, R.Kala 1 Dpt.of Mathmatcs, Sr Shakth Isttut of Egrg & Tchology, Combator 641 06. Dpt. of Mathmatcs,
More informationBayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution
Itratoal Joural of Statstcs ad Applcatos, (3): 35-3 DOI:.593/j.statstcs.3. Baysa Shrkag Estmator for th Scal Paramtr of Expotal Dstrbuto udr Impropr Pror Dstrbuto Abbas Najm Salma *, Rada Al Sharf Dpartmt
More informationAotomorphic Functions And Fermat s Last Theorem(4)
otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral
More informationA new class of gamma distribution
Acta Sctaru http://wwwubr/acta ISSN prtd: 806-2563 ISSN o-l: 807-8664 Do: 04025/actasctcholv3929890 A w class of gaa dstrbuto Cícro Carlos Brto Frak os-slva * Ladro Chavs Rêgo 2 ad Wlso Rosa d Olvra Dpartato
More informationEstimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek
Etatg th Varac a Sulato Study of Balacd Two Stag Prdctor of Ralzd Rado Clutr Ma Ed Stak Itroducto W dcrb a pla to tat th varac copot a ulato tudy N ( µ µ W df th varac of th clutr paratr a ug th N ulatd
More informationNumerical Method: Finite difference scheme
Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from
More informationThe probability of Riemann's hypothesis being true is. equal to 1. Yuyang Zhu 1
Th robablty of Ra's hyothss bg tru s ual to Yuyag Zhu Abstract Lt P b th st of all r ubrs P b th -th ( ) lt of P ascdg ordr of sz b ostv tgrs ad s a rutato of wth Th followg rsults ar gv ths ar: () Th
More informationESTIMATION OF RELIABILITY IN MULTICOMPONENT STRESS-STRENGTH BASED ON EXPONENTIATED HALF LOGISTIC DISTRIBUTION
Joural of Stattc: Advac Thor ad Applcato Volu 9 Nubr 03 Pag 9-35 ESTIMATION OF RELIABILITY IN MULTICOMPONENT STRESS-STRENGTH BASED ON EXPONENTIATED HALF LOGISTIC DISTRIBUTION G. SRINIVASA RAO ad CH. RAMESH
More informationLECTURE 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 informationExtension of Two-Dimensional Discrete Random Variables Conditional Distribution
Itratoal Busss Rsarch wwwccstorg/br Extso of Two-Dsoal Dscrt Rado Varabls Codtoal Dstrbuto Fxu Huag Dpartt of Ecoocs, Dala Uvrsty of Tchology Dala 604, Cha E-al: softwar666@63co Chg L Dpartt of Ecoocs,
More informationUnbalanced Panel Data Models
Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr
More informationCounting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4.
Coutg th compostos of a postv tgr usg Gratg Fuctos Start wth,... - Whr, for ampl, th co-ff of s, for o summad composto of aml,. To obta umbr of compostos of, w d th co-ff of (...) ( ) ( ) Hr for stac w
More informationInference on Stress-Strength Reliability for Weighted Weibull Distribution
Arca Joural of Mathatcs a Statstcs 03, 3(4: 0-6 DOI: 0.593/j.ajs.030304.06 Ifrc o Strss-Strgth Rlablty for Wght Wbull Dstrbuto Hay M. Sal Dpartt of Statstcs, Faculty of Corc, Al-Azhr Uvrsty, Egypt & Qass
More informationOn Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data
saqartvlos mcrbata rovul akadms moamb, t 9, #2, 2015 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o 2, 2015 Mathmatcs O Estmato of Ukow Paramtrs of Epotal- Logarthmc Dstrbuto by Csord
More informationA Probabilistic Characterization of Simulation Model Uncertainties
A Proalstc Charactrzaton of Sulaton Modl Uncrtants Vctor Ontvros Mohaad Modarrs Cntr for Rsk and Rlalty Unvrsty of Maryland 1 Introducton Thr s uncrtanty n odl prdctons as wll as uncrtanty n xprnts Th
More informationIranian Journal of Mathematical Chemistry, Vol. 2, No. 2, December 2011, pp (Received September 10, 2011) ABSTRACT
Iraa Joral of Mathatcal Chstry Vol No Dcbr 0 09 7 IJMC Two Tys of Gotrc Arthtc dx of V hylc Naotb S MORADI S BABARAHIM AND M GHORBANI Dartt of Mathatcs Faclty of Scc Arak Ursty Arak 856-8-89 I R Ira Dartt
More informationBinary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit
(c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty 3 Bary Choc LPM logt logstc rgrso probt Multpl Choc Multomal Logt (c Pogsa Porchawssul,
More informationSecond Handout: The Measurement of Income Inequality: Basic Concepts
Scod Hadout: Th Masurmt of Icom Iqualty: Basc Cocpts O th ormatv approach to qualty masurmt ad th cocpt of "qually dstrbutd quvalt lvl of com" Suppos that that thr ar oly two dvduals socty, Rachl ad Mart
More informationBayesian Test for Lifetime Performance Index of Ailamujia Distribution Under Squared Error Loss Function
Pur ad Appld Mathmatcs Joural 6; 5(6): 8-85 http://www.sccpublshggroup.com/j/pamj do:.648/j.pamj.656. ISSN: 36-979 (Prt); ISSN: 36-98 (Ol) Baysa Tst for ftm Prformac Idx of Alamuja Dstrbuto Udr Squard
More informationCOMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES
COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld
More informationThe Role of Branch-Correlation for an MC-CDMA System Combining with Coherent Diversity over Frequency Selective Channels
WEA RAACIO o COMMUICAIO a-hg La, Joy Iog-Zog Ch, Chh W Lou, I. Ma Huag h Rol of Brach-Corrlato for a MC-CDMA yst Cog wth Cohrt Dvrsty ovr Frqucy lctv Chals a-hg La, *Joy Iog-Zog Ch, Chh W Lou, ad I Ma
More informationComparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek
Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationDifferent types of Domination in Intuitionistic Fuzzy Graph
Aals of Pur ad Appld Mathmatcs Vol, No, 07, 87-0 ISSN: 79-087X P, 79-0888ol Publshd o July 07 wwwrsarchmathscorg DOI: http://dxdoorg/057/apama Aals of Dffrt typs of Domato Itutostc Fuzzy Graph MGaruambga,
More informationConsistency of the Maximum Likelihood Estimator in Logistic Regression Model: A Different Approach
ISSN 168-8 Joural of Statstcs Volum 16, 9,. 1-11 Cosstcy of th Mamum Lklhood Estmator Logstc Rgrsso Modl: A Dffrt Aroach Abstract Mamuur Rashd 1 ad Nama Shfa hs artcl vstgats th cosstcy of mamum lklhood
More informationNew families of p-ary sequences with low correlation and large linear span
THE JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOMMUNICATIONS Volu 4 Issu 4 Dcbr 7 TONG X WEN Qao-ya Nw fals of -ary sucs wth low corrlato ad larg lar sa CLC ubr TN98 Docut A Artcl ID 5-8885 (7 4-53-4
More informationChapter 6. pn-junction diode: I-V characteristics
Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc
More informationA COMPARISON OF SEVERAL TESTS FOR EQUALITY OF COEFFICIENTS IN QUADRATIC REGRESSION MODELS UNDER HETEROSCEDASTICITY
Colloquum Bomtrcum 44 04 09 7 COMPISON OF SEVEL ESS FO EQULIY OF COEFFICIENS IN QUDIC EGESSION MODELS UNDE HEEOSCEDSICIY Małgorzata Szczpa Dorota Domagała Dpartmt of ppld Mathmatcs ad Computr Scc Uvrsty
More informationNuclear Chemistry -- ANSWERS
Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D {... } 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 pots
More informationThe Beta Inverted Exponential Distribution: Properties and Applications
Volum, Issu 5, ISSN (Ol): 394-894 Th Bta Ivrtd Epotal Dstrbuto: Proprts ad Applcatos Bhupdra Sgh Dpartmt of Statstcs, Ch. Chara Sgh Uvrsty, Mrut, Ida Emal: bhupdra.raa@gmal.com Rtu Gol Dpartmt of Statstcs,
More informationIn 1991 Fermat s Last Theorem Has Been Proved
I 99 Frmat s Last Thorm Has B Provd Chu-Xua Jag P.O.Box 94Bg 00854Cha Jcxua00@s.com;cxxxx@6.com bstract I 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral
More informationLecture 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 informationMODEL QUESTION. Statistics (Theory) (New Syllabus) dx OR, If M is the mode of a discrete probability distribution with mass function f
MODEL QUESTION Statstcs (Thory) (Nw Syllabus) GROUP A d θ. ) Wrt dow th rsult of ( ) ) d OR, If M s th mod of a dscrt robablty dstrbuto wth mass fucto f th f().. at M. d d ( θ ) θ θ OR, f() mamum valu
More informationIndependent Domination in Line Graphs
Itratoal Joural of Sctfc & Egrg Rsarch Volum 3 Issu 6 Ju-1 1 ISSN 9-5518 Iddt Domato L Grahs M H Muddbhal ad D Basavarajaa Abstract - For ay grah G th l grah L G H s th trscto grah Thus th vrtcs of LG
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 Special Discrete Distributions. Wen-Guey Tzeng Computer Science Department National Chiao University
Chatr 5 Scal Dscrt Dstrbutos W-Guy Tzg Comutr Scc Dartmt Natoal Chao Uvrsty Why study scal radom varabls Thy aar frqutly thory, alcatos, statstcs, scc, grg, fac, tc. For aml, Th umbr of customrs a rod
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationMath Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1)
Math Trcks r! Combato - umbr o was to group r o objcts, ordr ot mportat r! r! ar 0 a r a s costat, 0 < r < k k! k 0 EX E[XX-] + EX Basc Probablt 0 or d Pr[X > ] - Pr[X ] Pr[ X ] Pr[X ] - Pr[X ] Proprts
More informationUsing Nonlinear Filter for Adaptive Blind Channel Equalization
HAMDRZA BAKHSH Dpt. o ctrca ad Coputr r Shahd Uvrsty Qo Hhway, Thra, RA Us oar Ftr or Adaptv Bd Cha quazato MOHAMMAD POOYA Dpt. o ctrca ad Coputr r Shahd Uvrsty Qo Hhway, Thra, RA Abstract: trsybo trrc
More informationThe real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k.
Modr Smcoductor Dvcs for Itgratd rcuts haptr. lctros ad Hols Smcoductors or a bad ctrd at k=0, th -k rlatoshp ar th mmum s usually parabolc: m = k * m* d / dk d / dk gatv gatv ffctv mass Wdr small d /
More informationWeights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( )
Sprg Ch 35: Statstcal chacs ad Chcal Ktcs Wghts... 9 Itrprtg W ad lw... 3 What s?... 33 Lt s loo at... 34 So Edots... 35 Chaptr 3: Fudatal Prcpls of Stat ch fro a spl odl (drvato of oltza dstrbuto, also
More informationAlmost all Cayley Graphs Are Hamiltonian
Acta Mathmatca Sca, Nw Srs 199, Vol1, No, pp 151 155 Almost all Cayly Graphs Ar Hamltoa Mg Jxag & Huag Qogxag Abstract It has b cocturd that thr s a hamltoa cycl vry ft coctd Cayly graph I spt of th dffculty
More informationEstimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution
World Acade of Scece, Egeerg ad Techolog Iteratoal Joural of Matheatcal ad Coputatoal Sceces Vol:4, No:, Estato of R P [Y < X] for Two-paraeter Burr Tpe XII Dstruto H.Paah, S.Asad Iteratoal Scece Ide,
More informationLinear Extractors for Extracting Randomness from Noisy Sources
011 IEEE Itratoal Syposu o Iforato Thory Procdgs Lar Extractors for Extractg Radoss fro Nosy Sourcs Hogchao Zhou Elctrcal Egrg Dpartt Calfora Isttut of Tchology Pasada, CA 9115 Eal: hzhou@caltch.du Jhoshua
More informationONLY AVAILABLE IN ELECTRONIC FORM
OPERTIONS RESERH o.287/opr.8.559c pp. c c8 -copao ONLY VILLE IN ELETRONI FORM fors 28 INFORMS Elctroc opao Optzato Mols of scrt-evt Syst yacs by Wa K (Vctor ha a L Schrub, Opratos Rsarch, o.287/opr.8.559.
More informationA Bivariate Distribution with Conditional Gamma and its Multivariate Form
Joural of Moder Appled Statstcal Methods Volue 3 Issue Artcle 9-4 A Bvarate Dstrbuto wth Codtoal Gaa ad ts Multvarate For Sue Se Old Doo Uversty, sxse@odu.edu Raja Lachhae Texas A&M Uversty, raja.lachhae@tauk.edu
More informationRepeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space.
Rpatd Trals: As w hav lood at t, th thory of probablty dals wth outcoms of sgl xprmts. I th applcatos o s usually trstd two or mor xprmts or rpatd prformac or th sam xprmt. I ordr to aalyz such problms
More informationComparing Different Estimators of three Parameters for Transmuted Weibull Distribution
Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted
More informationComplex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP)
th Topc Compl Nmbrs Hyprbolc fctos ad Ivrs hyprbolc fctos, Rlato btw hyprbolc ad crclar fctos, Formla of hyprbolc fctos, Ivrs hyprbolc fctos Prpard by: Prof Sl Dpartmt of Mathmatcs NIT Hamrpr (HP) Hyprbolc
More informationToday s topics. How did we solve the H atom problem? CMF Office Hours
CMF Offc ous Wd. Nov. 4 oo-p Mo. Nov. 9 oo-p Mo. Nov. 6-3p Wd. Nov. 8 :30-3:30 p Wd. Dc. 5 oo-p F. Dc. 7 4:30-5:30 Mo. Dc. 0 oo-p Wd. Dc. 4:30-5:30 p ouly xa o Th. Dc. 3 Today s topcs Bf vw of slctd sults
More informationStatistical 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 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 informationCourse 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:
Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght
More informationMEANINGFUL BATTING AVERAGES IN CRICKET
MEANINGFUL BATTING ERAGES IN CRICKET Paul J. va Stad, Albrtus T. Mrg, Joha A. Sty, Igr N. Fabrs-Rotll Dpartt of Statstcs, Uvrsty of Prtora, Prtora, 000, SOUTH AFRICA Eal: paul.vastad@up.ac.za Wb: www.up.ac.za/paulvastad
More informationChiang Mai J. Sci. 2014; 41(2) 457 ( 2) ( ) ( ) forms a simply periodic Proof. Let q be a positive integer. Since
56 Chag Ma J Sc 0; () Chag Ma J Sc 0; () : 56-6 http://pgscccmuacth/joural/ Cotrbutd Papr Th Padova Sucs Ft Groups Sat Taș* ad Erdal Karaduma Dpartmt of Mathmatcs, Faculty of Scc, Atatürk Uvrsty, 50 Erzurum,
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 informationME 501A Seminar in Engineering Analysis Page 1
St Ssts o Ordar Drtal Equatos Novbr 7 St Ssts o Ordar Drtal Equatos Larr Cartto Mcacal Er 5A Sar Er Aalss Novbr 7 Outl Mr Rsults Rvw last class Stablt o urcal solutos Stp sz varato or rror cotrol Multstp
More informationT and V be the total kinetic energy and potential energy stored in the dynamic system. The Lagrangian L, can be defined by
From MEC '05 Itrgratg Prosthtcs ad Mdc, Procdgs of th 005 MyoElctrc Cotrols/Powrd Prosthtcs Symposum, hld Frdrcto, Nw Bruswc, Caada, ugust 7-9, 005. EECROMECHNIC NYSIS OF COMPEE RM PROSHESIS (EMS) Prmary
More informationA New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming
ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research
More information' 1.00, has the form of a rhomb with
Problm I Rflcto ad rfracto of lght A A trstg prsm Th ma scto of a glass prsm stuatd ar ' has th form of a rhomb wth A th yllow bam of moochromatc lght propagatg towards th prsm paralll wth th dagoal AC
More informationPriority Search Trees - Part I
.S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal
More informationOn the Study of Nyquist Contour Handling Sampled-Data Control System Real Poles and Zeros
Rvw Artcl O th Study of Nyqust Cotour Hadlg Sapld-Data Cotrol Syst Ral Pols ad Zros Yossaw Wrakahag* Dpartt of Elctrcal ad Coputr Egrg Faculty of Egrg Thaasat Uvrsty Ragst Capus Khlog Nug Khlog Luag Pathu
More informationSection 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 informationPetru P. Blaga-Reducing of variance by a combined scheme based on Bernstein polynomials
Ptru P Blaa-Rdu o vara by a obd sh basd o Brst olyoals REUCG OF VARACE BY A COMBE SCHEME BASE O BERSTE POYOMAS by Ptru P Blaa Abstrat A obd sh o th otrol varats ad whtd uor sal thods or rdu o vara s vstatd
More informationLecture #11. A Note of Caution
ctur #11 OUTE uctos rvrs brakdow dal dod aalyss» currt flow (qualtatv)» morty carrr dstrbutos Radg: Chatr 6 Srg 003 EE130 ctur 11, Sld 1 ot of Cauto Tycally, juctos C dvcs ar formd by coutr-dog. Th quatos
More informationT 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 informationAnalysis of Variance with Weibull Data
Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad
More informationA Stochastic Approximation Iterative Least Squares Estimation Procedure
Joural of Al Azhar Uvrst-Gaza Natural Sccs, 00, : 35-54 A Stochastc Appromato Itratv Last Squars Estmato Procdur Shahaz Ezald Abu- Qamar Dpartmt of Appld Statstcs Facult of Ecoomcs ad Admstrato Sccs Al-Azhar
More informationThe R Package PK for Basic Pharmacokinetics
Wolfsggr, h R Pacag PK St 6 h R Pacag PK for Basc Pharmacotcs Mart J. Wolfsggr Dpartmt of Bostatstcs, Baxtr AG, Va, Austra Addrss of th author: Mart J. Wolfsggr Dpartmt of Bostatstcs Baxtr AG Wagramr Straß
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 informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationPower Spectrum Estimation of Stochastic Stationary Signals
ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:
More informationA Measure of Inaccuracy between Two Fuzzy Sets
LGRN DEMY OF SENES YERNETS ND NFORMTON TEHNOLOGES Volum No 2 Sofa 20 Masur of accuracy btw Two Fuzzy Sts Rajkumar Vrma hu Dv Sharma Dpartmt of Mathmatcs Jayp sttut of formato Tchoy (Dmd vrsty) Noda (.P.)
More informationEstimation of Stress- Strength Reliability model using finite mixture of exponential distributions
Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur
More informationERDOS-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 informationOrdinary Least Squares at advanced level
Ordary Last Squars at advacd lvl. Rvw of th two-varat cas wth algbra OLS s th fudamtal tchqu for lar rgrssos. You should by ow b awar of th two-varat cas ad th usual drvatos. I ths txt w ar gog to rvw
More informationExtension 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 informationLinear Prediction Analysis of Speech Sounds
Lr Prdcto Alyss of Sch Souds Brl Ch 4 frcs: X Hug t l So Lgug Procssg Chtrs 5 6 J Dllr t l Dscrt-T Procssg of Sch Sgls Chtrs 4-6 3 J W Pco Sgl odlg tchqus sch rcogto rocdgs of th I Stbr 993 5-47 Lr Prdctv
More informationStandard Deviation for PDG Mass Data
4 Dec 06 Stadard Devato for PDG Mass Data M. J. Gerusa Retred, 47 Clfde Road, Worghall, HP8 9JR, UK. gerusa@aol.co, phoe: +(44) 844 339754 Abstract Ths paper aalyses the data for the asses of eleetary
More informationThe Generalized Inverted Generalized Exponential Distribution with an Application to a Censored Data
J. Stat. Appl. Pro. 4, No. 2, 223-230 2015 223 Joural of Statstcs Applcatos & Probablty A Iteratoal Joural http://dx.do.org/10.12785/jsap/040204 The Geeralzed Iverted Geeralzed Expoetal Dstrbuto wth a
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 informationMultipliers. Overview. Introduction. Reading. Computer Systems Laboratory. Stanford University. Copyright 2001 by Mark Horowitz
Lctr : ltplrs ptr Systs Laratry Stafrd Uvrsty hrwtz@stafrd.d pyrght 00 y ark Hrwtz H/JZ EE 7 Lctr Ovrvw adg Itrdct Thr ar ts f paprs wrtt ltplcat. Ufrtatly t s rar that th papr talks at th lgc ad crct
More informationA 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 informationLinear Prediction Analysis of
Lr Prdcto Alyss of Sch Souds Brl Ch Drtt of Coutr Scc & Iforto grg Ntol Tw Norl Uvrsty frcs: X Hug t l So Lgug g Procssg Chtrs 5 6 J Dllr t l Dscrt-T Procssg of Sch Sgls Chtrs 4-6 3 J W Pco Sgl odlg tchqus
More informationStudy of Correlation using Bayes Approach under bivariate Distributions
Iteratoal Joural of Scece Egeerg ad Techolog Research IJSETR Volume Issue Februar 4 Stud of Correlato usg Baes Approach uder bvarate Dstrbutos N.S.Padharkar* ad. M.N.Deshpade** *Govt.Vdarbha Isttute of
More informationKURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.
KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces
More informationCorrelation in tree The (ferromagnetic) Ising model
5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.
More informationminimize c'x subject to subject to subject to
z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt
More information