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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">NO2-1</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.202004_18(2).0001</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A New Family of Generalized Distributions on the Unit Interval: The T− kumasatwamy Family of Distributions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Osatohanmwen</surname>
            <given-names>Patrick</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Statistics, University of Benin, Benin City, Edo State, Nigeria</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Oyegue</surname>
            <given-names>F.O.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, University of Benin, Benin City, Edo State, Nigeria</aff>
        <contrib contrib-type="author">
          <name>
            <surname>F.</surname>
            <given-names>Ewere</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Statistics, University of Benin, Benin City, Edo State, Nigeria</aff>
        <contrib contrib-type="author">
          <name>
            <surname>B.</surname>
            <given-names>Ajibade</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of General Studies, Petroleum Training Institute, Effurun, Delta State, Nigeria</aff>
      </contrib-group>
      <volume>18</volume>
      <issue>2</issue>
      <fpage>219</fpage>
      <lpage>237</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>The so-called Kumaraswamy distribution is a special probability distribution developed to model doubled bounded random processes for which the mode do not necessarily have to be within the bounds. In this article, a generalization of the Kumaraswamy distribution called the T-Kumaraswamy family is defined using the T-R {Y} family of distributions framework. The resulting T-Kumaraswamy family is obtained using the quantile functions of some standardized distributions. Some general mathematical properties of the new family are studied. Five new generalized Kumaraswamy distributions are proposed using the T-Kumaraswamy method. Real data sets are further used to test the applicability of the new family.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Quantile function</kwd>
        <kwd>Hazard function</kwd>
        <kwd>Kumaraswamy distribution</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
