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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">221</article-id>
	  <article-id pub-id-type="doi">10.6339/JDS.201710_15(4).00005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Bradley-Terry Model for Assessing the Performance of Ten Odi Cricket Teams Adjusting for Home Ground Effect</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Islam</surname>
            <given-names>Md. Mazharul</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Institute of Statistical Research and Training, University of Dhaka</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Khan</surname>
            <given-names>Jahidur Rahman</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Institute of Statistical Research and Training, University of Dhaka</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Raheem</surname>
            <given-names>Enayetur</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Biomedical Research Foundation (BRF), Dhaka, Bangladesh</aff>
      </contrib-group>
      <volume>15</volume>
      <issue>4</issue>
      <fpage>657</fpage>
      <lpage>668</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>The analysis of sports data, especially cricket is an interesting field for the statisticians. Every year, a large number of cricket tournaments take place among the cricket playing nations. It is of interest to study their performance when they play with each other in a one-day international (ODI) match or a test match. In this study, we assess the performance of top ten cricket teams in the ODI cricket match and make a comparison among them. The abilities of teams change over time. As a result, not a single team dominates the game over a long period. Therefore, a paired comparison method is more reliable and appropriate to compare more than two teams at the same time based on the outcomes of the matches they play. Arguably, a team’s performance also depends on whether they play at home or away. In this study, we consider Bradley-Terry model, a widely accepted model for pairwise comparison. In that, we consider home and away effect to demonstrate how the home advantages differ among these teams.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Pairwise comparison</kwd>
        <kwd>measuring performance in Cricket</kwd>
        <kwd>home and away effect</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
