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  <doi_batch_id>aspg-21-2535-1791472397</doi_batch_id>
  <timestamp>20261008151317</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>23</volume>
    </journal_volume>
    <issue>3</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>A New Version of Gumbel Distribution Using Sine Technique Family: Properties, Parameter Estimation, and Data Analysis and Comparison with Fuzzy Data</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Hanaa Saad M.</given_name>
      <surname>Shibeeb</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Economy, Faculty of Management and Economy, University of Kufa, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>S.</given_name>
      <surname>Altalaqani</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Economy, Faculty of Management and Economy, University of Kufa, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>A.</given_name>
      <surname>AL-Adilee</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Faculty of Education, University of Kufa, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, we propose a new version of the Gumbel Distribution using a sine technique family. We discuss the key properties of this distribution, such as the probability density function, the cumulative distribution function, the survival function, the hazard function, the cumulative hazard, and the moments. Additionally, we present a method for estimating the distribution's parameters. We then analyze a dataset using the original and generalized distributions, comparing the results and using goodness-of-fit measures to determine which distribution best fits the data. Finally, we provide conclusions based on our findings, with many examples and valid comparisons applied on fuzzy data.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>229</first_page>
     <last_page>236</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2535</item_number>
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     <doi>10.54216/IJNS.230327</doi>
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