<?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-941</article-id>
      <title-group>
        <article-title>Tail probabilities of aggregate claim distribution when claims are weighted against Lindley distribution</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Thiagarajah</surname>
            <given-names>K.</given-names>
          </name>
          <aff>Department of Mathematics, Normal, Illinois State University, IL 61790-4520, U.S.A.</aff>
        </contrib>
      </contrib-group>
      <volume>26</volume>
      <issue>4</issue>
      <fpage>885</fpage>
      <lpage>896</lpage>
      <pub-date date-type="pub">
        <day>10</day>
        <month>08</month>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>This paper proposes an approximation method for computing the tail probabilities of the aggregate claims distribution when claims follow a two-parameter weighted Lindley distribution. We have compared this approximation with some existing methods. Numerical comparisons are made with the exact results based on relative errors. The proposed approximation gives satisfactory accuracy in all applications considered in this paper.</p>
      </abstract>
      <kwd-group>
        <kwd>Frequency distribution</kwd>
        <kwd>Lindley distribution</kwd>
        <kwd>Aggregate claims distribution</kwd>
        <kwd>Approximation methods</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>
