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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">130205</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201507_13(3).0005</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Modelling the Distribution of Age at Last Conception of Females</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Verma</surname>
            <given-names>Shruti</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">partment of Statistics, Faculty of Science, Banaras Hindu University, Varanasi, Uttar Pradesh</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>Kaushalendra K.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Department of Statistics, Faculty of Science, Banaras Hindu University, Varanasi, Uttar Pradesh</aff>
      </contrib-group>
      <volume>13</volume>
      <issue>3</issue>
      <fpage>495</fpage>
      <lpage>508</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Social phenomena that are related to human beings cannot be performed under controlled conditions, making it difficult for policy planners to have an idea about the expected future conditions in the society under varying situations and forming policies. However, modelling can be really helpful to planners in these situations. The present paper attempts to find the distributions of age at last conception of women with the help of stochastic modelling for human fertility taking into consideration different parity progression behaviours among couples. This may be helpful to planners for having at least a rough idea of estimated proportion of women of different age groups who will be completing their childbearing and willing to go for sterilization after marriage under different stopping rules regarding desired family size and sex composition of children. Accordingly, these estimates will help planners to optimize the cost and service provision for sterilization programs for women.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Modelling</kwd>
        <kwd>conception</kwd>
        <kwd>stopping rules</kwd>
        <kwd>conception interval</kwd>
        <kwd>rate of conception</kwd>
        <kwd>contraceptive effectiveness</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
