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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">140110</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201601_14(1).0010</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>An Extended Fr echet Distribution: Properties and Applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Mansoor</surname>
            <given-names>M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Statistics, The Islamia University of Bahawalpur</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Tahir</surname>
            <given-names>M.H.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, The Islamia University of Bahawalpur</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Alzaatreh</surname>
            <given-names>Ayman</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Mathematics, Nazarbayev University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Cordeiro</surname>
            <given-names>Gauss M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of Statistics, Federal University of Pernambuco</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Zubair</surname>
            <given-names>M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_004"/>
        </contrib>
        <aff id="j_JDS_aff_004">Department of Statistics, The Islamia University of Bahawalpur</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ghazali</surname>
            <given-names>S.A.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_005"/>
        </contrib>
        <aff id="j_JDS_aff_005">Department of Statistics, The Islamia University of Bahawalpur</aff>
      </contrib-group>
      <volume>14</volume>
      <issue>1</issue>
      <fpage>167</fpage>
      <lpage>188</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: In this paper, we introduce an extended four-parameter Fr´echet model called the exponentiated exponential Fr´echet distribution, which arises from the quantile function of the standard exponential distribution. Various of its mathematical properties are derived including the quantile function, ordinary and incomplete moments, Bonferroni and Lorenz curves, mean deviations, mean residual life, mean waiting time, generating function, Shannon entropy and order statistics. The model parameters are estimated by the method of maximum likelihood and the observed information matrix is determined. The usefulness of the new distribution is illustrated by means of three real lifetime data sets. In fact, the new model provides a better fit to these data than the Marshall-Olkin Fr´echet, exponentiated-Fr´echet and Fr´echet models.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Exponentiated-exponential</kwd>
        <kwd>Fr´echet distribution</kwd>
        <kwd>hazard function</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
