Some methods of estimation for a trivariate Poisson distribution
S Loukas (1991)
Applicationes Mathematicae
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S Loukas (1991)
Applicationes Mathematicae
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Z. Schenková (1982)
Acta Universitatis Carolinae. Mathematica et Physica
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Christopher Withers, Saralees Nadarajah (2011)
Kybernetika
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The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution with sample size an independent Poisson random variable. It has received wide ranging applications. In this note, we give an account of its mathematical properties including estimation procedures by the methods of moments and maximum likelihood. Most of the properties given are hitherto unknown.
Teugels, Jozef L., Vynckier, Petra (1996)
Journal of Applied Mathematics and Stochastic Analysis
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M. Majsnerowska (1998)
Applicationes Mathematicae
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One more method of Poisson approximation is presented and illustrated with examples concerning binomial, negative binomial and hypergeometric distributions.
P.C. Consul, Felix Famoye (1995)
Metrika
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Alice Cleynen, Emilie Lebarbier (2014)
ESAIM: Probability and Statistics
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We consider the segmentation problem of Poisson and negative binomial (overdispersed Poisson) rate distributions. In segmentation, an important issue remains the choice of the number of segments. To this end, we propose a penalized -likelihood estimator where the penalty function is constructed in a non-asymptotic context following the works of L. Birgé and P. Massart. The resulting estimator is proved to satisfy an oracle inequality. The performances of our criterion is assessed using...