<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Original Articles">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-dynamical-systems-and-geometric-theories</journal-id>
      <journal-title-group>
        <journal-title>Journal of Dynamical Systems and Geometric Theories</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0057</issn>
      <issn publication-format="print">1726-037X</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.1080/1726037X.2010.10698584</article-id>
      <title-group>
        <article-title>Multivariate Generalized Exponential Distribution</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Mu</surname>
            <given-names>Jianyong</given-names>
          </name>
          <aff>College of Mathematics and Information Science, Henan Normal University, Henan, 453007, China</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Yanling</given-names>
          </name>
          <aff>College of Mathematics and Information Science, Henan Normal University, Henan, 453007, China</aff>
        </contrib>
      </contrib-group>
      <volume>8</volume>
      <issue>2</issue>
      <fpage>189</fpage>
      <lpage>199</lpage>
      <pub-date date-type="pub">
        <day>03</day>
        <month>06</month>
        <year>2013</year>
      </pub-date>
      <abstract>
        <p>The paper mainly aims to extend the bivariate generalized exponential distribution into multivariate exponential distribution. It also provides the explicit forms of the joint cumulative distribution function and joint probability distribution function, and further discusses that the EM algorithm can be used to compute the maximum likelihood estimators of the unknown parameters.</p>
      </abstract>
      <kwd-group>
        <kwd>Generalized exponential distribution</kwd>
        <kwd>Joint probability density function</kwd>
        <kwd>Maximum likelihood estimators</kwd>
        <kwd>EM algorithm</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>
