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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">070106</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2009.07(1).435
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Bayesian Semiparametric Sales Projections for the Texas Lottery</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Majumdar</surname>
            <given-names>A.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Arizona State University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Eubank</surname>
            <given-names>R.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <volume>7</volume>
      <issue>1</issue>
      <fpage>73</fpage>
      <lpage>87</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: State lotteries employ sales projections to determine appropri ate advertised jackpot levels for some of their games. This paper focuses on prediction of sales for the Lotto Texas game of the Texas Lottery. A novel prediction method is developed in this setting that utilizes functional data analysis concepts in conjunction with a Bayesian paradigm to produce predictions and associated precision assessments.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>curve registration</kwd>
        <kwd>functional data analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
