BOOTSTRAP CONFIDENCE-INTERVAL ESTIMATES OF C-PK - AN INTRODUCTION

被引：49
|
作者：
FRANKLIN, LRA
WASSERMAN, G
机构：
[1] INDIANA STATE UNIV,TERRE HAUTE,IN 47809
[2] WRIGHT STATE UNIV,DETROIT,MI 48202
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 1991年 / 20卷 / 01期
关键词：
BOOTSTRAP SAMPLING; CPK PROCESS INDEX; STANDARD; PERCENTILE; BIASED-CORRECTED PERCENTILE CONFIDENCE INTERVALS;
D O I：
10.1080/03610919108812950
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 interpretation of C(pk), a common measure of process capability and confidence limits for it, is based on the assumption that the process is normally distributed. The non-parametric but computer intensive method called Bootstrap is introduced and three Bootstrap confidence interval estimates for C(pk) are defined. An initial simulation of two processes (one normal and the other highly skewed) is presented and discussed.
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页码：231 / 242
页数：12
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