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Estimating means from a non-I.I.D. Mixture of Poisson samples

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Abstract

In this paper, a family of estimators for estimating means when mixing two independent Poisson samples is proposed. This family is based on the probability-generating function of the Poisson distribution and is offered as an alternative to the maximum likelihood estimators, which have some drawbacks. These estimators include the method of moments estimators as a special limiting case.

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From, S.G. Estimating means from a non-I.I.D. Mixture of Poisson samples. Ann Inst Stat Math 43, 167–179 (1991). https://doi.org/10.1007/BF00116476

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  • DOI: https://doi.org/10.1007/BF00116476

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