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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">03.NO.2-350</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201907_17(3).0002</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A New Distribution for Modeling Extreme Values</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Khalil</surname>
            <given-names>Mohamed G.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Statistics, Mathematics and Insurance, Benha University, Egypt.</aff>
      </contrib-group>
      <volume>17</volume>
      <issue>3</issue>
      <fpage>481</fpage>
      <lpage>503</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>In this work, we introduce a new distribution for modeling the extreme values. Some important mathematical properties of the new model are derived. We assess the performance of the maximum likelihood method in terms of biases and mean squared errors by means of a simulation study. The new model is better than some other important competitive models in modeling the repair times data and the breaking stress data.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Fréchet Distribution</kwd>
        <kwd>Moments</kwd>
        <kwd>Estimation</kwd>
        <kwd>Extreme Value Theory</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
