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<bibitem type="J">   <ARLID>0410459</ARLID> <utime>20240103182215.5</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">On the diversity of estimates</title>  <specification> <page_count>23 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0256439</ARLID><ISSN>0167-9473</ISSN><title>Computational Statistics and Data Analysis</title><part_num/><part_title/><volume_id>34</volume_id><volume>2 (2000)</volume><page_num>67-89</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>   <author primary="1"> <ARLID>cav_un_auth*0101225</ARLID> <name1>Víšek</name1> <name2>Jan Ámos</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>12B</COSATI>    <cas_special> <project> <project_id>IAA2075803</project_id> <agency>GA AV</agency> <country>CZ</country> <ARLID>cav_un_auth*0012935</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The paper demonstrates the fact that applying several estimators (especially with a high breakdown point) of regression coeffs we can obtain rather different result and we are forced to decide which of them is the most "plausible".</abstract>      <RIV>BB</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0130548</permalink>   <ID_orig>UTIA-B 20000175</ID_orig>       <arlyear>2000</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0256439 Computational Statistics and Data Analysis 0167-9473 1872-7352 Roč. 34 č. 2 2000 67 89 Elsevier </unknown> </cas_special> </bibitem>