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<bibitem type="J">   <ARLID>0411007</ARLID> <utime>20240103182255.1</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Some simple unconditional and conditional tests for testing tumour onset times</title>  <specification> <page_count>12 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0297175</ARLID><ISSN>0721-2631</ISSN><title>Statistics &amp; Decisions</title><part_num/><part_title/><volume_id>20</volume_id><page_num>297-308</page_num></serial>    <keyword>suboptimal tests</keyword>   <keyword>conditional and unconditional limit theorems</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101112</ARLID> <name1>Hušková</name1> <name2>Marie</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0021103</ARLID> <name1>Neuhaus</name1> <name2>G.</name2> <country>DE</country>  </author>     <COSATI>12B</COSATI>    <cas_special> <project> <project_id>GA201/00/0769</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0005686</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">A class of optimal tests for testing tumour onset times in a two sample testing problem has been developed in a recent paper by Neuhaus. These tests need estimators of the densities of the time to death distribution and are thereby somewhat complicated in nature. If such densities don't exist, which occurs often in practice since the times to death may be sacrifice times at certain fixed time points, this method cannot work.</abstract>      <RIV>BB</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0131094</permalink>   <ID_orig>UTIA-B 20020221</ID_orig>     <arlyear>2002</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0297175 Statistics &amp; Decisions 0721-2631 Roč. 20 X 2002 297 308 </unknown> </cas_special> </bibitem>