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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">NO2-6</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.202004_18(2).0006</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Extended Poisson-Frechet Distribution: Mathematical Properties and Applications to Survival and Repair Times</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Hamed</surname>
            <given-names>M.S.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Management Information System Department, Taibah University, Saudi Arabia.  2 Department of Statistics, Mathematics and Insurance, Benha University, Egypt.</aff>
      </contrib-group>
      <volume>18</volume>
      <issue>2</issue>
      <fpage>319</fpage>
      <lpage>342</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>In this paper, a new four parameter zero truncated Poisson Frechet distribution is defined and studied. Various structural mathematical properties of the proposed model including ordinary moments, incomplete moments, generating functions, order statistics, residual and reversed residual life functions are investigated. The maximum likelihood method is used to estimate the model parameters. We assess the performance of the maximum likelihood method by means of a numerical simulation study. The new distribution is applied for modeling two real data sets to illustrate empirically its flexibility.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Zero Truncated Poisson Distribution</kwd>
        <kwd>Frechet Distribution</kwd>
        <kwd>Maximum Likelihood Estimation</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
