<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1086</article-id>
      <title-group>
        <article-title>Cubic transmuted half-logistic distribution (CTHLD)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Sada</surname>
            <given-names>Majida T. Abdul</given-names>
          </name>
          <aff>Department of Mathematics, Faculty of CS and Mathematics, University of Kufa, Kufa, Iraq</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Al-Adilee</surname>
            <given-names>Ahmed</given-names>
          </name>
          <aff>Department of Mathematics, Faculty of Education, University of Kufa, Kufa, Iraq</aff>
        </contrib>
      </contrib-group>
      <volume>26</volume>
      <issue>8</issue>
      <fpage>1929</fpage>
      <lpage>1938</lpage>
      <pub-date date-type="pub">
        <day>25</day>
        <month>09</month>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>This study is concerned with a generalization of a half-logistic distribution by using a cubic transmuted technique. This combination is denoted by (CTHLD). Several properties like moments, survival function, hazard function, and moments have been shown. Estimation of the obtained parameters model is found by the maximum likelihood estimate (MLE). The goodness-of-fit measures have implemented to data set to test the best distribution that fit the desired data.</p>
      </abstract>
      <kwd-group>
        <kwd>Half-logistic distribution</kwd>
        <kwd>Transmuted technique</kwd>
        <kwd>Statistical inference</kwd>
        <kwd>Estimation  methods</kwd>
        <kwd>Goodness of-fit measures</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
