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<bibitem type="J">   <ARLID>0427815</ARLID> <utime>20240103204206.2</utime><mtime>20140519235959.9</mtime>   <WOS>000334724600007</WOS>  <DOI>10.1080/03610926.2012.677926</DOI>           <title language="eng" primary="1">Multivariate Process Capability Indices: A Directional Approach</title>  <specification> <page_count>7 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0252520</ARLID><ISSN>0361-0926</ISSN><title>Communications in Statistics - Theory and Methods</title><part_num/><part_title/><volume_id>43</volume_id><volume>9 (2014)</volume><page_num>1949-1955</page_num><publisher><place/><name>Taylor &amp; Francis</name><year/></publisher></serial>    <keyword>process capability index</keyword>   <keyword>projection pursuit</keyword>   <keyword>quantile regression</keyword>    <author primary="1"> <ARLID>cav_un_auth*0266474</ARLID> <name1>Šiman</name1> <name2>Miroslav</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> <url>http://library.utia.cas.cz/separaty/2014/SI/siman-0427815.pdf</url> </source>        <cas_special> <project> <project_id>1M06047</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0217941</ARLID> </project>  <abstract language="eng" primary="1">We propose a unified, universal, natural, and very intuitive way how to obtain new multivariate and tool wear extensions of univariate process capability indices by means of projection pursuit. We also illustrate the methodology in detail of the popular precision and accuracy indices, generalize the latter in a few different ways in the same spirit, add some personal insight, discuss the computational issues involved, and demonstrate the advantages of our approach in a small data example.</abstract>     <reportyear>2015</reportyear>  <RIV>BB</RIV>     <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0233603</permalink>   <confidential>S</confidential>          <unknown tag="mrcbT16-e">STATISTICSPROBABILITY</unknown> <unknown tag="mrcbT16-j">0.234</unknown> <unknown tag="mrcbT16-s">0.435</unknown> <unknown tag="mrcbT16-4">Q3</unknown> <unknown tag="mrcbT16-B">5.368</unknown> <unknown tag="mrcbT16-C">2.049</unknown> <unknown tag="mrcbT16-D">Q4</unknown> <unknown tag="mrcbT16-E">Q4</unknown> <arlyear>2014</arlyear>       <unknown tag="mrcbU34"> 000334724600007 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0252520 Communications in Statistics - Theory and Methods 0361-0926 1532-415X Roč. 43 č. 9 2014 1949 1955 Taylor &amp; Francis </unknown> </cas_special> </bibitem>