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<bibitem type="K">   <ARLID>0346976</ARLID> <utime>20240103193824.1</utime><mtime>20101004235959.9</mtime>         <title language="eng" primary="1">On analysis of martingale residuals in lifetime models</title>  <specification> <page_count>8 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0346975</ARLID><ISBN>978-80-7372-619-5</ISBN><title>Reliability Quality Estimation 09</title><part_num/><part_title/><page_num>178-185</page_num><publisher><place>Liberec</place><name>Technická universita v Liberci</name><year>2010</year></publisher></serial>    <keyword>Bayes statistics</keyword>   <keyword>lifetime model</keyword>   <keyword>martingale residuals</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101227</ARLID> <name1>Volf</name1> <name2>Petr</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> <full_dept>Department of Stochastic Informatics</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/SI/volf-on analysis of martingale residuals in lifetime models.pdf</url> </source>        <cas_special> <project> <project_id>1M06047</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0217941</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Residual analysis is used commonly in statistical tests of model fit, i.e. of good correspondence between data and model. We shall recall the notion of martingale residuals de¯ned for the case of lifetime models based on failure intensities. Analysis of these residual processes has already been studied by many authors. Nevertheless, Bayes approach to this problem is just developing. We shall present a Bayes  procedure of estimation in models containing nonparametric components. Further, Bayes construction of  residual processes and model goodness-of-¯t assessing will be proposed and demonstrated on an example with Cox's regression model.</abstract>  <action target="CST"> <ARLID>cav_un_auth*0262684</ARLID> <name>REQUEST 09</name>  <place>Liberec</place> <dates>26.11.2009-27.11.2009</dates>  <country>CZ</country> </action>    <reportyear>2011</reportyear>  <RIV>BB</RIV>      <permalink>http://hdl.handle.net/11104/0187858</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0346975 Reliability Quality Estimation 09 978-80-7372-619-5 178 185 Liberec Technická universita v Liberci 2010 </unknown> </cas_special> </bibitem>