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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">110302</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2013.11(3).1110
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>On the Three-Parameter Weibull Distribution Shape Parameter Estimation</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Teimouri</surname>
            <given-names>Mahdi</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">1Amirkabir University of Technology, 2Gonbad Kavous University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Gupta</surname>
            <given-names>Arjun K.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Bowling Green State University</aff>
      </contrib-group>
      <volume>11</volume>
      <issue>3</issue>
      <fpage>403</fpage>
      <lpage>414</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: The Weibull distribution has received much interest in reliability theory. The well-known maximum likelihood estimators (MLE) of this fam ily are not available in closed form expression. In this work, we propose a consistent and closed form estimator for shape parameter of three-parameter Weibull distribution. Apart from high degree of performance, the derived estimator is location and scale-invariant.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Coefficient of variation</kwd>
        <kwd>maximum likelihood estimate</kwd>
        <kwd>Weibull distribution</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
