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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">160402</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201810_16(4).00002</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 Extreme Values: Regression Model, Characterizations and Applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Yousof</surname>
            <given-names>H.M.</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 contrib-type="author">
          <name>
            <surname>Jahanshahi</surname>
            <given-names>S.M.A.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Faculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ramires</surname>
            <given-names>T.G.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Exact Sciences, University of Sao Paulo, Piracicaba, Brazil; 
Institute for Biostatistics and Bioinformatics, University of Haslet, Belgium</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Aryal</surname>
            <given-names>G.R.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of Mathematics, Statistics and CS, Purdue University Northwest, USA</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Hamedani</surname>
            <given-names>G.G.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_004"/>
        </contrib>
        <aff id="j_JDS_aff_004">Department of Mathematics, Statistics and CS, Marquette University, USA</aff>
      </contrib-group>
      <volume>16</volume>
      <issue>4</issue>
      <fpage>677</fpage>
      <lpage>706</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>A new four parameter extreme value distribution is defined and studied. Various structural properties of the proposed distribution including ordinary and incomplete moments, generating functions, residual and reversed residual life functions, order statistics are investigated. Some useful characterizations based on two truncated moments as well as based on the reverse hazard function and on certain functions of the random variable are presented. The maximum likelihood method is used to estimate the model parameters. Further, we propose a new extended regression model based on the logarithm of the new distribution. The new distribution is applied to model three real data sets to prove empirically its flexibility.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Extreme value distribution</kwd>
        <kwd>Order statistics</kwd>
        <kwd>Parameter estimation</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
