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  <doi_batch_id>aspg-24-4172-1791482269</doi_batch_id>
  <timestamp>20261008175749</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Neutrosophic and Fuzzy Systems</full_title>
    <abbrev_title>JNFS</abbrev_title>
    <issn media_type="print">2771-6430</issn>
    <issn media_type="electronic">2771-6449</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>10</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Study of The Period of Infection With The Covid-19 Until Death Using The Triple Left Truncated Exponential Distribution</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Alhasan</given_name>
      <surname>Kawther</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, College of Education for Pure Science, University of Babylon, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abad Al-Kadim</given_name>
      <surname>Kareema</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, College of Education for Pure Science, University of Babylon, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we are concerned with truncated distributions that have multiple truncations, due to being very useful in representing natural phenomena that cannot be studied at all intervals of their growth or development, for example, phenomena that are related to Agriculture, airplanes, health, and the environment. left truncation is utilized in this study. The statistical characteristics, such as the rth moments, moment generating function, order statistics, reliability function, hazard rate function, and reversed Hazard function, have been introduced. triple left truncated exponential distribution has been applied. Employed the maximum likelihood method to estimate. Also, the performance of triple left truncated exponential distribution was tested by calculating some statistical criteria and testing the goodness of fit for distribution, with comparisons between the distributions and testing them on real data for patients infected with covid-19.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>52</first_page>
     <last_page>59</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4172</item_number>
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     <doi>10.54216/JNFS.100105</doi>
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