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  <front>

    <journal-meta>

      <journal-title>Asian Journal of Applied Sciences</journal-title>

      <issn pub-type="ppub">1996-3343</issn>

      <issn pub-type="epub">xxxx-xxxx</issn>

      <publisher>

        <publisher-name>Knowledgia Review</publisher-name>

      </publisher>

    </journal-meta>


    <article-meta>

      <article-id pub-id-type="doi">10.3923/ajaps.2016.1.12</article-id>


      <title-group>

        <article-title><![CDATA[On A New Weighted Exponential Distribution: Theory and Application]]></article-title>

      </title-group>


      <contrib-group>

        <contrib contrib-type="author" xlink:type="simple">


          <name name-style="western">

            <surname>Oguntunde</surname>

            <given-names>P.E.</given-names>

          </name>


          <name name-style="western">

            <surname>Owoloko</surname>

            <given-names>E.A.</given-names>

          </name>


          <name name-style="western">

            <surname>Balogun</surname>

            <given-names>O.S.</given-names>

          </name>


        </contrib>

      </contrib-group>


      <pub-date pub-type="collection">


        <month>1</month>




        <year>2016</year>

      </pub-date>


      <volume>9</volume>

      <issue>1</issue>


      <abstract><![CDATA[<p>A new two-parameter weighted exponential distribution which has more mild algebraic properties than the existing weighted exponential distribution was studied. Explicit expressions for some of its basic statistical properties including moments, reliability analysis, quantile function and order statistics were derived. Its parameters were estimated using the method of maximum likelihood estimation. The new probability model was applied to four real data sets to assess its flexibility over the existing weighted exponential distribution.</p>]]></abstract>


    </article-meta>

  </front>


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