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Computational Methods for Maximum Likelihood Estimation in Generalized Linear Mixed Models
Otava, Martin ; Komárek, Arnošt (advisor) ; Kulich, Michal (referee)
of the diploma thesis Title: Computational Methods for Maximum Likelihood Estimation in Generalized Linear Mixed Models Author: Bc. Martin Otava Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Arnošt Komárek, Ph.D., Department of Probability and Mathematical Statistics Abstract: Using maximum likelihood method for generalized linear mixed models, the analytically unsolvable problem of maximization can occur. As solution, iterative and ap- proximate methods are used. The latter ones are core of the thesis. Detailed and general introducing of the widely used methods is emphasized with algorithms useful in practical cases. Also the case of non-gaussian random effects is discussed. The approximate methods are demonstrated using the real data sets. Conclusions about bias and consistency are supported by the simulation study. Keywords: generalized linear mixed model, penalized quasi-likelihood, adaptive Gauss- Hermite quadrature 1
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Errors in Variables
Mordinová, Katarína ; Hlávka, Zdeněk (advisor) ; Komárek, Arnošt (referee)
1 Title: Errors in variables Author: Katarína Mordinová Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. Zdeněk Hlávka, Ph.D. Supervisor's e-mail address: Zdenek.Hlavka@mff.cuni.cz Abstract: The topic of the diploma thesis is Errors in variables. In the opening chapter, we define basic terms used in the thesis and we introduce the regression analysis and basic relations related to this term. In the second chapter, we attend to linear regression model and its characteristics. In the third chapter, we attend to the errors in variables models. In the last chapter of this thesis we present a possible application in medicine. Keywords: regresion analysis, errors in variables, linear regression model
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Survival function estimation
Chrenko, Jakub ; Komárek, Arnošt (referee) ; Hudecová, Šárka (advisor)
Nazev prace: Odhady funkcr pfeziti Autor: Jakub Chrenko Kalodra: Katcdra pravdepodobnosti a mateinaticke statistiky Vedouci ba.ka.la.fske pra.ce: Mgr. Sarka Dosla e-mail vedouciho: dosla'ii'karlin.mff.cimi.cz Abstrakt: V pfedlozene pnici so zabyvame funkci pfeziti a jejuni odharly. Popsany jsou jak paramrtrirke, tak i neparamelrickc' pf ist upv. V obou piipa- deeh je pfihledimto k pfi'padncuiu ccnzorovanf clat. NoiJaramotricke rriotody iifkladon /adno pozadavky ua rozdrloni dat, a proto jsou uuiverzalne po- uzitcliic. Z tcchlo nictod uvadi'nir Z(^jmciH^ Ka,pkui-M(ucruv odhad fiinkcc pfcziti, jchoz zakladni vlastnosti jsou popsany. Ziiu'iiena je l.ra analyza ta- bulck unirtnosti. Parauietricke piist.upy j)rcdpokl;idaji koiikrntui tvar tno- rciickclio rozdeleiii sludovniio nahodric voliriny. Z nojcast.eji pouzivanycii rozdclonf Tivadinic oxporinucialui, Woilnilluvo a logaritniicko iioriualni. V za- vc.i'u prac'c; jsou tyt.o inctody poT'Oviiauy a ilustrovauy ua koukretui'm da- tovom souboru a poinoci simulaci. Klfcova slova: Fuiikcc })feziti, hazard, Kaplan-Mcicruv odhad, rouzorovana dat.n Title: Estiiua.tioii oi' Survivalship Function Author: Jakub Chronko Department: Department of Probability and Mathematical statistics Supervisor: Mgr. Snrka Dosla Supervisor's e-mail address: doslaCO'karliii.iiifl.ciuii.cz...
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Parametric regression models in survival analysis
Otava, Martin ; Ševčík, Jaroslav (referee) ; Komárek, Arnošt (advisor)
Na'/cv prace: Paraniot.ricke regiesiri modely v analv'/e pfezitf Autor: Martin Otava Katedra (li.stav): Katedra pravdepoiiolmosti a niatcmatitke statistiky Vedouci bakalafske prace: Mgr. Amost Komarek, Ph.D. (j-inail vedonciho: komaiek( >karlin.mli.cuni.c /, Abst.rakl: \ pfcdlo/.ene. praci studujcme panunetricke re^resni modely v ana- lyze pre/.ili. Skrze pojem cen/orovani se se/namfme s podst.alou analy/.y pixv.iti a zavudrme si zakladnf pojiiiy ir/ivanr v souvislo^ti s ui. Uka'/niK1 si tvurbu vlicxlnc'lio rc^rcsni'lio inodcln a zpiiwoby odliadti paranictru s diua/,cni na inotixhi inaxiinalni vrrohodnosTi spolrriu"' s itcrarniini nu'l.odaini pro ... vyrt'seni. Vysvrtlnnr si vv'/nani iialiodiu'' chyliy inefriii. Die1 jcjilio roxdrlcni pak vyLvoriiuc nckolik ni/nycli pai'a.iiHit.i1itikycli niodrlu pro odhad li\i.s(oly etiyu do sclhani. Srovnanir inodcly s neparamctrirkym odliadnn, ktdiy nain poimizc ... i t . /da na.s model odpovi'da ri'aliTr. CV-lou [iraci bude provaxcT ihi- ,stra,ce na skiilcrnycli dal(irh slouxicf jako nkii/ka fuii^cjvani metody v pra.xi. KliVova slova: Analv/a prc/iti. iJarainrtrickr inodcly. Title: Accclcralfd iailurc t.inn1 models in survival analysis Ant hor: Mart in Otava Dqiart.nieiit.: Depart.mcnl of Proba.bilit.y a.nd Mat lunnatical St.atisl.ics Supervisor: Mgv. Arnost Komarck,...
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