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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">160310</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201807_16(3).00010</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Power Generalized Weibull Distribution Based on Generalised Order Statistics</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Kumar</surname>
            <given-names>Devendra</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Statistics, Central University of Haryana, India</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Jain</surname>
            <given-names>Neetu</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, University of Delhi, India</aff>
      </contrib-group>
      <volume>16</volume>
      <issue>3</issue>
      <fpage>621</fpage>
      <lpage>646</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>The power generalized Weibull distribution due to Bagdonovacius and Nikulin (2002) is an alternative,and always provides better fits than the exponentiated Weibull family for modeling lifetime data. In this paper, we consider the generalized order statistics (GOS) from this distribution. We obtain exact explicit expressions as well as recurrence relations for the single, product and conditional moments of generalized order statistics from the power generalized Weibull distribution and then we use these results to compute the means and variances of order statistics and record values for samples of different sizes for various values of the shape and scale parameters.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Power generalized Weibull distribution</kwd>
        <kwd>generalized Order statistics</kwd>
        <kwd>Recurrence relations</kwd>
        <kwd>Single and product moments</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
