Parameter estimations for generalized exponential distribution under progressive type-I interval censoring

被引：73
|
作者：
Chen, D. G. [2 ]
Lio, Y. L. [1 ]
机构：
[1] Univ S Dakota, Dept Math Sci, Vermillion, SD 57069 USA
[2] Georgia So Univ, Jiang Ping Hsu Coll Publ Hlth, Statesboro, GA 30460 USA
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2010年 / 54卷 / 06期
关键词：
Maximum likelihood estimate; Method of moments; EM algorithm; Type-I interval censoring; MODIFIED WEIBULL DISTRIBUTION; FAMILY; INFERENCE; SURVIVAL; MODEL;
D O I：
10.1016/j.csda.2010.01.007
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The estimates, via maximum likelihood, moment method and probability plot, of the parameters in the generalized exponential distribution under progressive type-I interval censoring are studied. A simulation is conducted to compare these estimates in terms of mean squared errors and biases. Finally, these estimate methods are applied to a real data set based on patients with plasma cell myeloma in order to demonstrate the applicabilities. (C) 2010 Elsevier B.V. All rights reserved.
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页码：1581 / 1591
页数：11
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