<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="C">   <ARLID>0395723</ARLID> <utime>20240111140834.2</utime><mtime>20130919235959.9</mtime>         <title language="eng" primary="1">On quantile optimization problem with censored data</title>  <specification> <page_count>6 s.</page_count> <media_type>C</media_type> </specification>   <serial><ARLID>cav_un_epca*0395722</ARLID><ISBN>978-80-87035-76-4</ISBN><title>Proceedings of the 31st International Conference Mathematical Methods in Economics 2013</title><part_num/><part_title/><page_num>1004-1009</page_num><publisher><place>Jihlava</place><name>College of Polytechnics Jihlava</name><year>2013</year></publisher><editor><name1>Vojáčková</name1><name2>Hana</name2></editor></serial>    <keyword>stochastic optimization</keyword>   <keyword>quantile</keyword>   <keyword>censored data</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> <source_type>CD</source_type> <url>http://library.utia.cas.cz/separaty/2013/SI/volf-on quantile optimization problem with censored data.pdf</url> </source>        <cas_special> <project> <project_id>GA13-14445S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0292652</ARLID> </project>  <abstract language="eng" primary="1">In the framework of stochastic optimization the criterion based on selected quantiles is considered. Further, stochastic characteristics   are estimated from censored data.  Therefore, certain theoretical results concerning estimators of distribution function and quantiles under censoring are recalled and utilized to prove consistency of solution based on estimates. Behavior of solutions for finite data sizes is studied with the aid of randomly generated example.</abstract>  <action target="CST"> <ARLID>cav_un_auth*0292039</ARLID> <name>MME 2013. International Conference on Mathematical Methods in Economics 2013 /31./</name> <place>Jihlava</place> <dates>11.09.2013-13.09.2013</dates>  <country>CZ</country>  </action>    <reportyear>2014</reportyear>  <RIV>BB</RIV>     <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0223790</permalink>        <arlyear>2013</arlyear>       <unknown tag="mrcbU56"> CD </unknown> <unknown tag="mrcbU63"> cav_un_epca*0395722 Proceedings of the 31st International Conference Mathematical Methods in Economics 2013 978-80-87035-76-4 1004 1009 Jihlava College of Polytechnics Jihlava 2013 </unknown> <unknown tag="mrcbU67"> Vojáčková Hana 340 </unknown> </cas_special> </bibitem>