Progressively Type-II censored competing risks data from Lomax distributions

被引：103
|
作者：
Cramer, Erhard [1 ]
Schmiedt, Anja Bettina [1 ]
机构：
[1] Rhein Westfal TH Aachen, Inst Stat, D-52056 Aachen, Germany
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2011年 / 55卷 / 03期
关键词：
Competing risks; Progressive censoring; Lomax distributions; Exponential distribution; Optimal progressive censoring plans; PARETO DISTRIBUTION; INTERVAL ESTIMATION; OPTIMAL SCHEMES; LIFE; INFERENCE; PREDICTION; PARAMETERS; OPTIMALITY; SAMPLES; PLANS;
D O I：
10.1016/j.csda.2010.09.017
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A competing risks model based on Lomax distributions is considered under progressive Type-II censoring Maximum likelihood estimates for the distribution parameters are established Moreover the expected Fisher information matrix is computed and optimal Fisher information based censoring plans are discussed In particular it turns out that the optimal censoring scheme depends on the particular parametrization of the Lomax distributions (C) 2010 Elsevier B V All rights reserved
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页码：1285 / 1303
页数：19
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