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<item>
  <id>06130760</id>
  <dt>j</dt>
  <an></an>
  <augroup>
    <au>Dai, Hongsheng</au>
    <au>Bao, Yanchun</au>
    <au>Bao, Mingtang</au>
  </augroup>
  <ti>Maximum likelihood estimate for the dispersion parameter of the negative binomial distribution.</ti>
  <so>Stat. Probab. Lett. 83, No. 1, 21-27 (2013).</so>
  <py>2013</py>
  <pu>Elsevier Science B.V. (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
    <cc>62</cc>
  </ccgroup>
  <utgroup>
    <ut>dispersion parameter</ut>
    <ut>fixed point</ut>
    <ut>maximum likelihood estimate</ut>
    <ut>negative binomial distribution</ut>
    <ut>score function</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.spl.2012.08.017</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper shows that the maximum likelihood estimate (MLE) for the dispersion parameter of the negative binomial distribution is unique under a certain condition. A fixed-point iteration algorithm is proposed and it guarantees to converge to the MLE, when the score function has a unique root.</ab>
    <rv></rv>
  </abgroup>
</item>