<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-science-frontier-research-f-mathematics-decision</journal-id>
<journal-title-group>
<journal-title>Global Journal of Science Frontier Research - F: Mathematics &amp; Decision</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5896</issn>
<issn publication-format="electronic">2249-4626</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/52674.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">52674</article-id>
<title-group>
<article-title>Lehmann Type-2 Inverse Lomax Distribution and Applications to Reliability Data</article-title>
<subtitle>Lehmann Type-2 Inverse Lomax Distribution Study</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Fatoki</surname><given-names>Olayode</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Friday</surname><given-names>Adeleye Najeem</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Adekunle</surname><given-names>Adefolarin David</given-names></name></contrib>
</contrib-group>
<aff id="aff1">NIGERIA</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2022-09-20">
<day>20</day>
<month>09</month>
<year>2022</year>
</pub-date>
<volume>22</volume>
<issue>F3</issue>
<fpage>15</fpage>
<lpage>26</lpage>
<abstract><p>We developed a new three-parameter extended inverse Lomax distribution called the Lehmann Type-2 inverse Lomax distribution. We demonstrated its superiority over the inverse Lomax distribution through various theoretical and practical approaches. The derived properties include the quantiles, moments, incomplete moments, entropy (Renyi and Tsallis), and order statistics. Finally, we consider two life-time data sets to show how the practitioner can take advantage of the new Type-2 inverse Lomax model. .</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>moments; entropy; lehmann type-2 inverse lomax distribution; quantiles.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJSFR_Volume22/3-Lehmann-Type-2-Inverse.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/lehmann-type-2-inverse-lomax-distribution-and-applications-to-reliability-data/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>We developed a new three-parameter extended inverse Lomax distribution called the Lehmann Type-2 inverse Lomax distribution. We demonstrated its superiority over the inverse Lomax distribution through various theoretical and practical approaches. The derived properties include the quantiles, moments, incomplete moments, entropy (Renyi and Tsallis), and order statistics. Finally, we consider two life-time data sets to show how the practitioner can take advantage of the new Type-2 inverse Lomax model.</p>
</sec>
</body>
</article>