Existence and uniqueness of the maximum likelihood estimator for the two-parameter negative binomial distribution
Jorge Aragón,
David Eberly and
Shelly Eberly
Statistics & Probability Letters, 1992, vol. 15, issue 5, 375-379
Abstract:
Given a sample with mean x and second moment s2, Anscombe in 1950 conjectured that the maximum likelihood equations for the two-parameter negative binomial distribution have a unique solution if and only if s2 > x. We give a proof of his conjecture.
Keywords: Maximum; likelihood; estimator; negative; binomial; distribution; Newton's; method (search for similar items in EconPapers)
Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:15:y:1992:i:5:p:375-379
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