JOURNAL ARTICLE

Restricted Maximum Likelihood Estimators for Poisson Parameters

Richard L. DykstraRichard Madsen

Year: 1976 Journal:   Journal of the American Statistical Association Vol: 71 (355)Pages: 711-718

Abstract

Abstract Let X, Xi, Xij, j = 1, …, n, j = 1, …, ni be independent Poisson random variables with parameters λ, λ i , λ ij . The maximum likelihood estimators for the parameters subject to (1) and subject to (1) and (2) are obtained. The bias and MSE of these restricted maximum likelihood estimators (RMLE's) are approximated by analytic and Monte Carlo methods. In every case a substantial savings in MSE is obtained at the expense of a small loss in bias when using RMLE's instead of unrestricted MLE's. The restrictions could be generalized to other linear restrictions.

Keywords:
Estimator Mathematics Poisson distribution Statistics Maximum likelihood Monte Carlo method Restricted maximum likelihood Random variable Maximum likelihood sequence estimation Applied mathematics

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Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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