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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">130304</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201504_13(2).0004</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Log Generalized Lindley-Weibull Distribution with Application</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Oluyede</surname>
            <given-names>Broderick O.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Mathematical Sciences, Georgia Southern University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Mutiso</surname>
            <given-names>Fedelis</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Biostatistics, University of Washington</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Huang</surname>
            <given-names>Shujiao</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Mathematics, University of Houston</aff>
      </contrib-group>
      <volume>13</volume>
      <issue>2</issue>
      <fpage>281</fpage>
      <lpage>310</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>A new distribution called the log generalized Lindley-Weibull (LGLW) distribution for modeling lifetime data is proposed. This model further generalizes the Lindley distribution and allows for hazard rate functions that are monotonically decreasing, monotonically increasing and bathtub shaped. A comprehensive investigation and account of the mathematical and statistical properties including moments, moment generating function, simulation issues and entropy are presented. Estimates of model parameters via the method of maximum likelihood are given. Real data examples are presented to illustrate the usefulness and applicability of this new distribution.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Lindley distribution</kwd>
        <kwd>Lindley-Weibull distribution</kwd>
        <kwd>Maximum  likelihood estimation</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
