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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd"[]>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Science and Education Publishing</PublisherName>
      <JournalTitle>American Journal of Applied Mathematics and Statistics</JournalTitle>
      <Issn>2328-7292</Issn>
      <Volume>4</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="epublish">
        <Year>2016</Year>
        <Month>6</Month>
        <Day>15</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Missing Values Estimation for a Stable Bivariate Autoregressive Process</ArticleTitle>
    <FirstPage>67</FirstPage>
    <LastPage>73</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>I.A.</FirstName>
        <LastName>Iwok</LastName>
        <Affiliation>Department of Mathematics/Statistics, University of Port-Harcourt, P.M.B.5323, Port-Harcourt, Rivers State; Nigeria</Affiliation>
      </Author>
    </AuthorList>
    <ArticleIdList>
      <ArticleId IdType="pii">AJAMS2016432</ArticleId>
      <ArticleId IdType="doi">10.12691/ajams-4-3-2</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2016</Year>
        <Month>3</Month>
        <Day>9</Day>
      </PubDate>
      <PubDate PubStatus="revised">
        <Year>2016</Year>
        <Month>4</Month>
        <Day>24</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2016</Year>
        <Month>6</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <Abstract>This work proposed a method for the estimation of missing values in a stable bivariate autoregressive time series process. Missing observations were created at different positions in a stable bivariate series and the method was applied. Despite its ease of implementation, the obtained results suggested good performance of the method. The estimates obtained were compared with those of other existing methods. The result showed that the proposed method provides better estimates than the existing methods.</Abstract>
  </Article>
</ArticleSet>