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  <doi_batch_id>aspg-39-3218-1792222316</doi_batch_id>
  <timestamp>20261017073156</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Neutrosophic and Information Fusion</full_title>
    <abbrev_title>NIF</abbrev_title>
    <issn media_type="electronic">2836-7863</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>On the Problem of Inverting Discrete Self-Regression Models to Continuous Models</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Taher Ahmed</given_name>
      <surname>Jubbori</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Techniques Engineering Department, Al-Mustaqbal University, Babil, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we discuss the problem of converting auto-regression models at a discrete time into auto-regression models at continuous time, based on the idea of converting auto-regression models from first to second order. We study the general formula of AR (p) and its ability to convert from discrete to continuous time. Also, we use our model to study some real-life problems as a direct application of our approach.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>27</first_page>
     <last_page>33</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3218</item_number>
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     <doi>10.54216/NIF.040205</doi>
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