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<bibitem type="K">   <ARLID>0334627</ARLID> <utime>20240111140731.4</utime><mtime>20100106235959.9</mtime>         <title language="eng" primary="1">Testing homogeneity and goodness of fit in survival data</title>  <specification> <page_count>8 s.</page_count> <media_type>www</media_type> </specification>   <serial><ARLID>cav_un_epca*0334626</ARLID><ISBN>978-80-7015-004-7</ISBN><title>ROBUST 2008 - Sborník prací 15. letní školy JČMF Robust 2008</title><part_num/><part_title/><page_num>541-548</page_num><publisher><place>Praha</place><name>JČMF</name><year>2009</year></publisher><editor><name1>Antoch</name1><name2>Jaromír</name2></editor><editor><name1>Dohnal</name1><name2>Gejza</name2></editor></serial>   <title language="cze" primary="0">Testování homogenity a dobré shody v analýze přežití</title>    <keyword>survival analysis</keyword>   <keyword>MCMC</keyword>   <keyword>martingale residuals</keyword>    <author primary="1"> <ARLID>cav_un_auth*0257680</ARLID> <name1>Timková</name1> <name2>Jana</name2> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept language="eng">Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department language="eng">SI</department> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>pdf</source_type> <url>http://library.utia.cas.cz/separaty/2010/SI/timkova-testing homogeneity and goodness of fit in survival data.pdf</url> </source>        <cas_special> <project> <project_id>IAA101120604</project_id> <agency>GA AV ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0215816</ARLID> </project> <project> <project_id>GD201/05/H007</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0215863</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">The present paper deals with the goodness of fit and the twosample problem related to the event-history type data. The proposed methods are derived from bayesian nonparametric approach and take advantage of MCMC estimation of the hazard rate. The technique is based on Bayes construction of martingale residuals.</abstract> <abstract language="cze" primary="0">Práce je věnována testům dobré shody a homogenity v modelech intenzit pro data z analýzy přežití. Metoda vychází z bayesovského neparametrického odhadování komponent modelu a využití MCMC postupů. Samotné testy jsou založeny na bayesovské konstrukci martingalových residuálů.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0242765</ARLID> <name>ROBUST 2008. Letní škola JČMF /15./</name>  <place>Pribylina</place> <dates>08.09.2008-12.09.2008</dates>  <country>SK</country> </action>    <reportyear>2010</reportyear>  <RIV>BB</RIV>      <permalink>http://hdl.handle.net/11104/0179314</permalink>        <arlyear>2009</arlyear>       <unknown tag="mrcbU56"> pdf </unknown> <unknown tag="mrcbU63"> cav_un_epca*0334626 ROBUST 2008 - Sborník prací 15. letní školy JČMF Robust 2008 978-80-7015-004-7 541 548 ROBUST 2008 - Proceedings of the 15-th summer school of JČMF Robust 2008 Praha JČMF 2009 </unknown> <unknown tag="mrcbU67"> Antoch Jaromír 340 </unknown> <unknown tag="mrcbU67"> Dohnal Gejza 340 </unknown> </cas_special> </bibitem>