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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">130305</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201504_13(2).0005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Analysis of Child Mortality for Muslim Women of Uttar Pradesh, India: An Application of Bayesian Frailty Model</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>G.P.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Department of Community Medicine and DST-CIMS, BHU, Varanasi</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Tripathi</surname>
            <given-names>A.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Community Medicine and DST-CIMS, BHU, Varanasi</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>S.K.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Department of Statistics and DST-CIMS, BHU, Varanasi</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>Umesh</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Department of Statistics and DST-CIMS, BHU, Varanasi</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>O.P.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_004"/>
        </contrib>
        <aff id="j_JDS_aff_004">Department of Statistics, U.P. College, Varanasi</aff>
      </contrib-group>
      <volume>13</volume>
      <issue>2</issue>
      <fpage>311</fpage>
      <lpage>322</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>In this paper an attempt has been made to analyze the child mortality by use of a hazard model in Bayesian environment, family effect through multiplicative random effect is also incorporated in the model. For fitting this model real data has taken from District Level Household and Facility Survey (DLHS)-3. The largest state (in population) of India i.e. Uttar Pradesh data is taken for analysis. Deviance information criteria are used for comparison of models. It found that the model with family frailty gives better fit. All the analysis is performed in winBUGS software, which is used Markov chain monte carlo simulation under gibbs sampling.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Bayesian Environment</kwd>
        <kwd>Child Mortality</kwd>
        <kwd>Deviance information Criteria</kwd>
        <kwd>Gibbs sampling</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
