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<bibitem type="J">   <ARLID>0477767</ARLID> <utime>20240103214458.2</utime><mtime>20170911235959.9</mtime>    <DOI>10.5300/IB</DOI>           <title language="eng" primary="1">Competing risk model with a non-traditional application</title>  <specification> <page_count>11 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0296652</ARLID><ISSN>1210-8022</ISSN><title>Informační bulletin České statistické společnosti</title><part_num/><part_title/><volume_id>28</volume_id><volume>1 (2017)</volume><page_num>1-11</page_num><publisher><place/><name>Česká statistická společnost</name><year/></publisher></serial>    <keyword>competing risks</keyword>   <keyword>survival analysis</keyword>   <keyword>sports statistics</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101227</ARLID> <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> <full_dept>Department of Stochastic Informatics</full_dept>  <share>100</share> <name1>Volf</name1> <name2>Petr</name2> <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/2017/SI/volf-0477767.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">The competing risks scheme is used to the analysis of time to the fi rst goal in a football (soccer) match. The competing random variables are two latent times (of two teams) to scoring. It is assumed that these times are exponentially distributed, their mutual dependence is described by a copula ensuring the model identi ability. As a real example the data from two seasons 2014-2016 of the Czech First League are analyzed and compared.</abstract>     <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2018</reportyear>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0274236</permalink>   <confidential>S</confidential>        <arlyear>2017</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0296652 Informační bulletin České statistické společnosti 1210-8022 Roč. 28 č. 1 2017 1 11 Česká statistická společnost </unknown> </cas_special> </bibitem>