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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">160209</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201804_16(2).0009</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Transmuted Weibull Power Function Distribution: its Properties and Applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Haq</surname>
            <given-names>Muhammad Ahsan ul</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Quality Enhancement Cell (QEC), National College of Arts, Lahore-Pakistan.</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Elgarhy</surname>
            <given-names>M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Vice Presidency for Graduate Studies and Scientific Research, University of Jeddah, Jeddah, KSA.</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Hashmi</surname>
            <given-names>Sharqa</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Lahore College for Women University, Lahore, Pakistan</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ozel</surname>
            <given-names>Gamze</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of Statistics, Hacettepe University, Turkey.</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ain</surname>
            <given-names>Qurat ul</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_004"/>
        </contrib>
        <aff id="j_JDS_aff_004">Department of Mathematics and Statistics, University of Lahore, Lahore</aff>
      </contrib-group>
      <volume>16</volume>
      <issue>2</issue>
      <fpage>397</fpage>
      <lpage>418</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>In this paper, we introduce a new four-parameter distribution called the transmuted Weibull power function (TWPF) distribution which e5xtends the transmuted family proposed by Shaw and Buckley [1]. The hazard rate function of the TWPF distribution can be constant, increasing, decreasing, unimodal, upside down bathtub shaped or bathtub shape. Some mathematical properties are derived including quantile functions, expansion of density function, moments, moment generating function, residual life function, reversed residual life function, mean deviation, inequality measures. The estimation of the model parameters is carried out using the maximum likelihood method. The importance and flexibility of the proposed model are proved empirically using real data sets.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Weibull distribution</kwd>
        <kwd>transmuted family</kwd>
        <kwd>moments</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
