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<bibitem type="J">   <ARLID>0390660</ARLID> <utime>20240903170626.1</utime><mtime>20130312235959.9</mtime>   <WOS>000317087400003</WOS>         <title language="eng" primary="1">GOODNESS-OF-FIT TEST FOR THE ACCELERATED FAILURE TIME MODEL BASED ON MARTINGALE RESIDUALS</title>  <specification> <page_count>20 s.</page_count> <media_type>P</media_type> </specification>    <serial><ARLID>cav_un_epca*0297163</ARLID><ISSN>0023-5954</ISSN><title>Kybernetika</title><part_num/><part_title/><volume_id>49</volume_id><volume>1 (2013)</volume><page_num>40-59</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>accelerated failure time model</keyword>   <keyword>survival analysis</keyword>   <keyword>goodness-of-fit</keyword>    <author primary="1"> <ARLID>cav_un_auth*0265032</ARLID> <name1>Novák</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>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2013/SI/novak-goodness-of-fit test for the aft model based on martingale residuals.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> <project> <project_id>SVV 261315/2011</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0290065</ARLID> </project>  <abstract language="eng" primary="1">The AFT model presents a way to easily describe survival regression data. It is assumed that each observed unit ages internally faster or slower, depending on the covariate values. To use the model properly, we want to check if observed data fit the model assumptions. In present work we introduce a goodness-of-fit testing procedure based on modern martingale theory. On simulated data we study empirical properties of the test for various situations.</abstract>     <reportyear>2014</reportyear>  <RIV>BB</RIV>      <num_of_auth>1</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122135545.7 </unknown>  <permalink>http://hdl.handle.net/11104/0219542</permalink>          <unknown tag="mrcbT16-e">COMPUTERSCIENCECYBERNETICS</unknown> <unknown tag="mrcbT16-f">0.577</unknown> <unknown tag="mrcbT16-g">0.098</unknown> <unknown tag="mrcbT16-h">9.IV</unknown> <unknown tag="mrcbT16-i">0.00191</unknown> <unknown tag="mrcbT16-j">0.341</unknown> <unknown tag="mrcbT16-k">655</unknown> <unknown tag="mrcbT16-l">61</unknown> <unknown tag="mrcbT16-s">0.348</unknown> <unknown tag="mrcbT16-z">ScienceCitationIndexExpanded</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-B">35.159</unknown> <unknown tag="mrcbT16-C">31.250</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <arlyear>2013</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0390660.pdf </unknown>    <unknown tag="mrcbU34"> 000317087400003 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 49 č. 1 2013 40 59 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>