Statistical Inference for the Parameter of Rayleigh Distribution Based on Progressively Type-I Interval Censored Sample
Year: 2015
Author: M. S. Abdalroof, Zhiwen Zhao, Dehui Wang
Communications in Mathematical Research , Vol. 31 (2015), Iss. 2 : pp. 108–118
Abstract
In this paper, the estimation of parameters based on a progressively type-I interval censored sample from a Rayleigh distribution is studied. Different methods of estimation are discussed. They include mid-point approximation estimator, the maximum likelihood estimator, moment estimator, Bayes estimator, sampling adjustment moment estimator, sampling adjustment maximum likelihood estimator and estimator based on percentile. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.13447/j.1674-5647.2015.02.02
Communications in Mathematical Research , Vol. 31 (2015), Iss. 2 : pp. 108–118
Published online: 2015-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 11
Keywords: EM algorithm maximum likelihood estimation moment method Bayes estimation Rayleigh distribution