Confidence interval for the bootstrap P-value and sample size calculation of the bootstrap test

被引：16
|
作者：
Li, Jialiang [1 ]
Tai, Bee Choo [2 ]
Nott, David J. [1 ]
机构：
[1] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117546, Singapore
[2] Natl Univ Singapore, Dept Community Occupat & Family Med, Singapore 117546, Singapore
来源：
JOURNAL OF NONPARAMETRIC STATISTICS | 2009年 / 21卷 / 05期
关键词：
bootstrap test; binomial confidence interval; nonparametric regression; P-value; sample size calculation; simulation variance; FIDUCIAL LIMITS; PROPORTION;
D O I：
10.1080/10485250902770035
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：
The use of the bootstrap test lends both elegance and simplicity to the analysis of complicated statistical problems. Such a numerical approach yields an estimated P-value as a binomial proportion. The purpose of this article is to recommend that confidence intervals for the bootstrap P-value be calculated routinely. In constructing these intervals, due consideration needs to be given to the P-values that may be close to or equal to zero. We consider three instructive examples and related methods for designing the bootstrap sample size.
引用
收藏
页码：649 / 661
页数：13
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