Parameter Estimations for Generalized RayleighDistribution under Progressively Type-I IntervalCensored Data

作     者：Y. L. Lio Ding-Geng Chen Tzong-Ru Tsai 

作者机构：不详 

出 版 物：《Open Journal of Statistics》 (统计学期刊（英文）)

年 卷 期：2011年第1卷第2期

页      面：46-57页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Maximum Likelihood Estimate Method of Moments EM Algorithm Type-I Interval Censoring 

摘      要：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.