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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">130405</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201510_13(4).0005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Comparing the Exponentiated and Generalized Modified Weibull Distributions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Almalki</surname>
            <given-names>Saad J.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">1 Department of Mathematics and Statistics, Taif University, P.O.Box 888 Taif, KSA;
2 School of Mathematics, University of Manchester, Manchester M13 9PL, UK</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Nadarajah</surname>
            <given-names>Saralees</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">School of Mathematics, University of Manchester, Manchester M13 9PL, UK</aff>
      </contrib-group>
      <volume>13</volume>
      <issue>4</issue>
      <fpage>713</fpage>
      <lpage>732</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: In recent years, many modifications of the Weibull distribution have been proposed. Some of these modifications have a large number of parameters and so their real benefits over simpler modifications are questionable. Here, we use two data sets with modified unimodal (unimodal followed by increasing) hazard function for comparing the exponentiated Weibull and generalized modified Weibull distributions. We find no evidence that the generalized modified Weibull distribution can provide a better fit than the exponentiated Weibull distribution for data sets exhibiting the modified unimodal hazard function.In a related issue, we consider Carrasco et al. (2008), a widely cited paper, proposing the generalized modified Weibull distribution, and illustrating two real data applications. We point out that some of the results in both real data applications in Carrasco et al. (2008) 1 are incorrect.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Generalized modified Weibull distribution</kwd>
        <kwd>Weibull distribution</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
