<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-interdisciplinary-mathematics</journal-id>
      <journal-title-group>
        <journal-title>Journal of Interdisciplinary Mathematics</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-012X</issn>
      <issn publication-format="print">0972-0502</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIM-1988</article-id>
      <title-group>
        <article-title>A new alpha power survival transformation distribution with an application for Weibull distribution</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Madlool</surname>
            <given-names>Hashim</given-names>
          </name>
          <aff>Department of Mathematics, College of Education for Pure Sciences, Babylon University, Babylon, 51002, Iraq</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kadhim</surname>
            <given-names>Karima Abdul</given-names>
          </name>
          <aff>Department of Mathematics, College of Education for Pure Sciences, Babylon University, Babylon, 51002, Iraq</aff>
        </contrib>
      </contrib-group>
      <volume>28</volume>
      <issue>1</issue>
      <fpage>317</fpage>
      <lpage>326</lpage>
      <pub-date date-type="pub">
        <day>13</day>
        <month>02</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>The study provides a new method to form a more flexible distribution, which relies on adding a parameter to the family of defined distributions, this method is based on the survival-at-work function. The approach is specific to the Weibull distribution. Some mathematical characteristics of the new distribution were addressed, and their statistical significance was considered. To assess the adequacy of this distribution. The distribution is supported by a set of genuine data.</p>
      </abstract>
      <kwd-group>
        <kwd>Quantile</kwd>
        <kwd>Survival function</kwd>
        <kwd>Order statistics</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>
