A PARAMETRIC BOOTSTRAP PROCEDURE TO ESTIMATE THE SELECTED MEAN USING CENSORED-DATA

被引：2

作者：

INDURKHYA, A ^{[1
]}

机构：

[1] UNIV S FLORIDA,COLL ARTS & SCI,TAMPA,FL 33620

来源：

STATISTICS & PROBABILITY LETTERS | 1994年 / 21卷 / 04期

关键词：

ESTIMATION AFTER SELECTION; BOOTSTRAP; CENSORING; NEGATIVE EXPONENTIAL DISTRIBUTION;

D O I：

10.1016/0167-7152(94)00022-0

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：

Estimators for the mean of the selected population are proposed using a parametric bootstrap procedure. The small sample behaviour of the estimator is studied when the data is censored. The estimator is compared with other suitable estimators in the case of the negative exponential distribution.

引用

页码：291 / 298

页数：8

共 50 条

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[9] RESIDUAL ANALYSIS FOR PARAMETRIC MODELS FIT TO CENSORED-DATA
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[10] NONPARAMETRIC CONFIDENCE-BOUNDS, USING CENSORED-DATA, ON THE MEAN RESIDUAL LIFE
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