
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</dc:rights>
  <dc:date>2020</dc:date>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:title xml:lang="eng">Control Charts Based on Quantiles – New Approaches</dc:title>
  <dc:creator id="https://orcid.org/0000-0001-5127-9839 https://plus.cobiss.net/cobiss/sr/sr/conor/12437351">Jevremović, Vesna</dc:creator>
  <dc:creator id="https://orcid.org/0000-0001-8672-1607">Avdović, Atif</dc:creator>
  <dc:subject xml:lang="eng">Keywords: Quality control, control charts, quantiles, empirical distribution function, p-value</dc:subject>
  <dc:source>Scientific Publications of the State University of Novi Pazar  12(2)</dc:source>
  <dc:language>eng</dc:language>
  <dc:format>application/pdf</dc:format>
  <dc:format>278253 bytes</dc:format>
  <dc:description xml:lang="eng">Abstract:
Contemporary development of Statistical quality control includes researches on different control charts, which could be easily implemented in production processes due to facilities offered by computers. New control charts give more information about production processes than the conventional ones, that&apos;s why there is a lot of investigation in this area of applied statistics. In this paper, we shall explain some new ideas concerning the construction of control charts based on quantiles, empirical distribution function and p-value.</dc:description>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:29106</dc:identifier>
  <dc:identifier>doi:10.5937/SPSUNP2002099J </dc:identifier>
  <dc:identifier>ISSN: 2217-5539</dc:identifier>
</oai_dc:dc>
