Exact inference and prediction for K-sample exponential case under type-II censoring

被引:4
|
作者
Balakrishnan, N
Lin, CT [1 ]
机构
[1] Tamkang Univ, Dept Math, Taipei, Taiwan
[2] McMaster Univ, Hamilton, ON L8S 4L8, Canada
关键词
order statistics; normalized spacings; exponential distribution; best linear unbiased estimator; K-sample doubly Type-II censored sample;
D O I
10.1080/0094965031000097214
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The exact inference and prediction intervals for the K-sample exponential scale parameter under doubly Type-II censored samples are derived using an algorithm of Huffer and Lin [Huffer, F.W. and Lin, C.T., 2001, Computing the joint distribution of general linear combinations of spacings or exponential variates. Statistica Sinica, 11, 1141-1157.]. This approach provides a simple way to determine the exact percentage points of the pivotal quantity based on the best linear unbiased estimator in order to develop exact inference for the scale parameter as well as to construct exact prediction intervals for failure times unobserved in the ith sample. Similarly, exact prediction intervals for failure times of units from a future sample can also be easily obtained.
引用
收藏
页码:315 / 331
页数:17
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