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

• 作者: Ding-Geng Chen Tzong-Ru Tsai Y. L. Lio
• 来源期刊: 统计学期刊(英文)
• 学科: 数学
• 关键词: Maximum LIKELIHOOD ESTIMATE Method of MOMENTS EM Algorithm Type-I INTERVAL CENSORING
• 年，卷（期）: 2011,（2）
• 页码范围: 46-57
• 页数: 12页
• 分类号: O1

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.