Optimality criteria and optimal schemes in progressive censoring

被引：32

作者：

Burkschat, M. ^{[1
]}

Cramer, E. ^{[1
]}

Kamps, U. ^{[1
]}

机构：

[1] Univ Aachen, Rhein Westfal TH Aachen, Inst Stat, D-52056 Aachen, Germany

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2007年 / 36卷 / 07期

关键词：

best linear unbiased estimation; generalized Pareto distributions; location-scale family; matrix means; optimal censoring scheme; progressive censoring;

D O I：

10.1080/03610920601077196

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Best linear unbiased estimation for parameters of a particular location-scale family based on progressively Type-II censored order statistics is considered and optimal censoring schemes are determined. As optimality criteria serve the rho(P)-criteria from experimental design which are applied to the covariance matrix of the BLUEs. The results are supplemented by monotonicity properties of the trace and the determinant with respect to the sample size and the initial number of items in the experiment.

引用

页码：1419 / 1431

页数：13

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