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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">120104</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2014.12(1).1210
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Weibull-G Family of Probability Distributions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Bourguignon</surname>
            <given-names>Marcelo</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Universidade Federal de Pernambuco</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Rodrigo B.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Universidade Federal de Pernambuco</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Cordeiro</surname>
            <given-names>Gauss M.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Universidade Federal de Pernambuco</aff>
      </contrib-group>
      <volume>12</volume>
      <issue>1</issue>
      <fpage>53</fpage>
      <lpage>68</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: The Weibull distribution is the most important distribution for problems in reliability. We study some mathematical properties of the new wider Weibull-G family of distributions. Some special models in the new family are discussed. The properties derived hold to any distribution in this family. We obtain general explicit expressions for the quantile function, or dinary and incomplete moments, generating function and order statistics. We discuss the estimation of the model parameters by maximum likelihood and illustrate the potentiality of the extended family with two applications to real data.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Generalized distribution</kwd>
        <kwd>lifetime</kwd>
        <kwd>order statistic</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
