The computation of accuracy of quality parameters by means of a Monte Carlo simulation

被引：1

作者：

Ciarlini, P ^{[1
]}

Gigli, A ^{[1
]}

Regoliosi, G ^{[1
]}

机构：

[1] CNR, Ist Appl Calcolo M Picone, I-00161 Rome, Italy

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 1999年 / 28卷 / 03期

关键词：

bootstrap; capability index; statistical process control;

D O I：

10.1080/03610919908813580

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 bootstrap methodology is applied to control quality of an industrial production according to the specifications required by the costumer. A comparison between the approach based on the capability index and normality assumptions, and the bootstrap approach is given using real and simulated data. The procedure allows to estimate tail probabilities even in regions not supported by data, with an accuracy independent of the sample variance also when data are not "nearly" normal.

引用

页码：821 / 848

页数：28

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