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  <doi_batch_id>aspg-33-1690-1792222832</doi_batch_id>
  <timestamp>20261017074032</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Galoitica: Journal of Mathematical Structures and Applications</full_title>
    <abbrev_title>GJMSA</abbrev_title>
    <issn media_type="electronic">2834-5568</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>5</volume>
    </journal_volume>
    <issue>1</issue>
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    <titles>
     <title>Comparison of Some Entropy Measures for Non-Central Fisher Probability Distribution</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Mazeat</given_name>
      <surname>Koreny</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mohamed Bisher</given_name>
      <surname>Zeina</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Shaza</given_name>
      <surname>Zubeadah</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Basic Science, Faculty of Informatics Engineering, University of Aleppo, Aleppo, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this paper, many entropy measures of noncentral Fisher distribution were driven including Shannon, Renyi, Sharma, Havrda, Arimoto and Tsallis. A comparison between these entropies was made according to distribution’s shift parameter, distribution’s degrees of freedom, shape parameter and truncation parameter. The entropy that had less relative loss was said to be better than the other. There were significant differences according to all studied parameters except the shift parameter and we found that the best entropy of the mentioned entropies for noncentral Fisher distribution was Renyi entropy.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>17</first_page>
     <last_page>35</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1690</item_number>
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     <doi>10.54216/GJMSA.050102</doi>
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