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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">160305</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201807_16(3).0005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Statistical Properties of Rayleigh Lomax Distribution with Applications in Survival Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Fatima</surname>
            <given-names>Kawsar</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Statistics, University of Kashmir, Srinagar, India</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Jan</surname>
            <given-names>Uzma</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, University of Kashmir, Srinagar, India</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ahmad</surname>
            <given-names>S.P</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Statistics, University of Kashmir, Srinagar, India</aff>
      </contrib-group>
      <volume>16</volume>
      <issue>3</issue>
      <fpage>531</fpage>
      <lpage>548</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: The paper deals with the introduction of new generalized model i.e., Rayleigh Lomax distribution. In this manuscript, a comprehensive description of the various structural properties of the new proposed model including explicit expressions for moments, quantile function, generating functions and Renyi entropy have been given. The parameters of the newly developed distribution have been estimated using the technique of maximum likelihood estimation. Also, the generalized model has been compared with different models for illustration and best fit.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Rayleigh Lomax Distribution</kwd>
        <kwd>Reliability analysis</kwd>
        <kwd>Moments</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
