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

被引：75

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.

引用

页码：1581 / 1591

页数：11

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