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Theory & Method

Unimodality of Likelihood Functions for the Binomial Distribution

Pages 181-183 | Received 01 Dec 1981, Published online: 12 Mar 2012

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Read on this site (4)

H.T. V. Vu & R.A. Maller. (1996) The Likelihood Ratio Test for Poisson versus Binomial Distributions. Journal of the American Statistical Association 91:434, pages 818-824.
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Peter Hall. (1994) On the Erratic Behavior of Estimators of N in the Binomial N, p Distribution. Journal of the American Statistical Association 89:425, pages 344-352.
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RaymondJ. Carroll & F. Lombard. (1985) A Note on N Estimators for the Binomial Distribution. Journal of the American Statistical Association 80:390, pages 423-426.
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H. Joe & N. Reid. (1985) Estimating the Number of Faults in a System. Journal of the American Statistical Association 80:389, pages 222-226.
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Articles from other publishers (5)

Nels Grevstad. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Nels Grevstad. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
A. K. Gupta, T. T. Nguyen & Yining Wang. (2008) On maximum likelihood estimation of the binomial parameter n . Canadian Journal of Statistics 27:3, pages 599-606.
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Carlo Ferreri. (1997) On the ML-estimator of the positive and negative two-parameter binomial distribution. Statistics & Probability Letters 33:2, pages 129-134.
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T. Nakamura. (1991) Existence of Maximum Likelihood Estimates for Interval-Censored Data from Some Three-Parameter Models with a Shifted Origin. Journal of the Royal Statistical Society Series B: Statistical Methodology 53:1, pages 211-220.
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