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  <doi_batch_id>aspg-21-1965-1791472302</doi_batch_id>
  <timestamp>20261008151142</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>2023</year>
    </publication_date>
    <journal_volume>
     <volume>21</volume>
    </journal_volume>
    <issue>4</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Advancing Covid-19 Data Modeling: Introducing a Neutrosophic Extension of Ramous Louzada Distribution</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Sundus Naji</given_name>
      <surname>AL-Aziz</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematical Sciences, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Irsa</given_name>
      <surname>Sajjad</surname>
      <affiliations>
       <institution>
        <institution_name>Department of mathematics and Statistics, Central South University, Changsha Hunan, China</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Javid Gani</given_name>
      <surname>Dar</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Applied Sciences, Symbiosis Institute of Technology, Symbiosis International (Deemed University) Pune, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abd Al-Aziz H. EL</given_name>
      <surname>Bagoury</surname>
      <affiliations>
       <institution>
        <institution_name>Higher Istitute of Engineering and Technology, Elmahala Elkobra, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this research, we introduce a neutrosopic extension of the Ramous Louzada Distribution called the Inverse Ramous Louzada Distribution. We delve into several mathematical properties of this distribution, including the Survival function, Hazard Rate function, cumulative Hazard Rate function, and estimation technique. Moreover, we conduct a comparative analysis between the Inverse Weibull distribution and the traditional Ramous Louzada Distribution, which are two widely used distributions. Our aim is to assess the performance of the developed model through Maximum Likelihood Estimation (MLE), Standard Error (SE), and Goodness of Fit tests.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>72</first_page>
     <last_page>83</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1965</item_number>
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     <doi>10.54216/IJNS.210408</doi>
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