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<bibitem type="J">   <ARLID>0498334</ARLID> <utime>20240903115850.1</utime><mtime>20181217235959.9</mtime>   <SCOPUS>85058974512</SCOPUS> <WOS>000454282000074</WOS>  <DOI>10.3390/e20120966</DOI>           <title language="eng" primary="1">Likelihood ratio testing under measurement errors</title>  <specification> <page_count>9 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0290017</ARLID><ISSN>1099-4300</ISSN><title>Entropy</title><part_num/><part_title/><volume_id>20</volume_id><volume/><publisher><place/><name>MDPI</name><year/></publisher></serial>    <keyword>measurement errors</keyword>   <keyword>robust testing</keyword>   <keyword>two-sample test</keyword>   <keyword>robust optimization</keyword>   <keyword>information theory</keyword>    <author primary="1"> <ARLID>cav_un_auth*0255501</ARLID>  <share>33%</share> <name1>Broniatowski</name1> <name2>M.</name2> <country>FR</country> </author> <author primary="0"> <ARLID>cav_un_auth*0368969</ARLID> <full_dept>Department of Stochastic Informatics</full_dept>  <share>33%</share> <name1>Jurečková</name1> <name2>Jana</name2> <institution>UTIA-B</institution> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept>Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department>SI</department> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0263018</ARLID> <full_dept>Department of Machine Learning</full_dept>  <share>33%</share> <name1>Kalina</name1> <name2>Jan</name2> <institution>UIVT-O</institution> <full_dept language="cz">Oddělení strojového učení</full_dept> <full_dept>Department of Machine Learning</full_dept> <fullinstit>Ústav informatiky AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2019/SI/jureckova-0498334.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0370462</ARLID> <project_id>GA18-01137S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project> <project> <ARLID>cav_un_auth*0345802</ARLID> <project_id>GA17-01251S</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">The likelihood ratio test of a simple null  hypothesis against a simple alternative is considered in the situation that observations are mismeasured due to the presence of measurement errors.</abstract>     <result_subspec>WOS</result_subspec> <RIV>JD</RIV> <FORD0>20000</FORD0> <FORD1>20200</FORD1> <FORD2>20206</FORD2>     <reportyear>2019</reportyear>      <num_of_auth>3</num_of_auth>  <unknown tag="mrcbC47"> UIVT-O 10000 10100 10101 </unknown> <unknown tag="mrcbC52"> 4 R hod 4rh 20231122143650.1 </unknown> <unknown tag="mrcbC55"> UIVT-O BA </unknown> <inst_support> RVO:67985556 </inst_support> <inst_support> RVO:67985807 </inst_support>  <permalink>http://hdl.handle.net/11104/0291528</permalink>  <unknown tag="mrcbC61"> 1 </unknown> <unknown tag="mrcbC64"> 1 Department of Machine Learning UIVT-O 10200 COMPUTER SCIENCE, THEORY &amp; METHODS </unknown>  <confidential>S</confidential>  <article_num> 966 </article_num> <unknown tag="mrcbC86"> 2 Article Physics Multidisciplinary </unknown>         <unknown tag="mrcbT16-e">PHYSICS.MULTIDISCIPLINARY</unknown> <unknown tag="mrcbT16-f">2.505</unknown> <unknown tag="mrcbT16-g">0.699</unknown> <unknown tag="mrcbT16-h">3.2</unknown> <unknown tag="mrcbT16-i">0.01476</unknown> <unknown tag="mrcbT16-j">0.516</unknown> <unknown tag="mrcbT16-k">7232</unknown> <unknown tag="mrcbT16-s">0.524</unknown> <unknown tag="mrcbT16-5">1.818</unknown> <unknown tag="mrcbT16-6">959</unknown> <unknown tag="mrcbT16-7">Q2</unknown> <unknown tag="mrcbT16-B">58.9</unknown> <unknown tag="mrcbT16-C">66</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <unknown tag="mrcbT16-M">0.75</unknown> <unknown tag="mrcbT16-N">Q2</unknown> <unknown tag="mrcbT16-P">66.049</unknown> <arlyear>2018</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: a0498334.pdf </unknown>    <unknown tag="mrcbU14"> 85058974512 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000454282000074 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0290017 Entropy 1099-4300 1099-4300 Roč. 20 č. 12 2018 MDPI ONLINE </unknown> </cas_special> </bibitem>