Generalized confidence intervals for process capability indices in the one-way random model

被引：25

作者：

Kurian, K. M.

Mathew, Thomas

Sebastian, G.

机构：

[1] Univ Maryland, Dept Math & Stat, Baltimore, MD 21250 USA

[2] St Thomas Coll, Dept Stat, Pala, Kerala, India

来源：

METRIKA | 2008年 / 67卷 / 01期

关键词：

generalized confidence interval; generalized pivotal quantity; process capability index; unbalanced data;

D O I：

10.1007/s00184-006-0123-2

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 method of generalized confidence intervals is proposed as an alternative method for constructing confidence intervals for process capability indices under the one-way random model for balanced as well as unbalanced data. The generalized lower confidence limits and the coverage probabilities for three commonly used capability indices were studied via simulation, separately for balanced and unbalanced cases. Simulation results showed that the generalized confidence interval procedure is quite satisfactory both in the balanced and unbalanced cases. Examples are provided to illustrate the results.

引用

页码：83 / 92

页数：10

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