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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">NO1-10</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.202001_18(1).0010</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A New Generalized Lomax Model: Statistical Properties And Applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ibrahim</surname>
            <given-names>Mohamed</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Applied Statistics and Insurance, Faculty of Commerce, Damietta University, Egypt</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Yousof</surname>
            <given-names>Haitham M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, Mathematics and Insurance, Benha University, Egypt</aff>
      </contrib-group>
      <volume>18</volume>
      <issue>1</issue>
      <fpage>190</fpage>
      <lpage>217</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>In this paper, a new version of the Poisson Lomax distributions is proposed and studied. The new density is expressed as a linear mixture of the Lomax densities. The failure rate function of the new model can be increasing-constant, increasing, U shape, decreasing and upside down-increasing. The statistical properties are derived and four applications are provided to illustrate the importance of the new density. The method of maximum likelihood is used to estimate the unknown parameters of the new density. Adequate fitting is provided by the new model.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Truncated Poisson Distribution</kwd>
        <kwd>Lomax Distribution</kwd>
        <kwd>Moments</kwd>
        <kwd>Moment Generating Function</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
