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Parameter Estimations for Generalized RayleighDistribution under Progressively Type-I IntervalCensored Data
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Open Journal of Statistics·Volume 01 (2011)·Pages 46–57·Published 12 July 2011·DOI10.4236/ojs.2011.12006
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Abstract
In this paper, inference on parameter estimation of the generalized Rayleigh distribution are investigated for progressively type-I interval censored samples. The estimators of distribution parameters via maximum likelihood, moment method and probability plot are derived, and their performance are compared based on simulation results in terms of the mean squared error and bias. A case application of plasma cell myeloma data is used for illustrating the proposed estimation methods.
KeywordsMaximum Likelihood EstimateMethod of MomentsEM AlgorithmType-I Interval Censoring
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