Identification and Quantification in Multivariate Quality Control Problems
作者:
HayterAnthony J.,
LeungKwok,
期刊:
Journal of Quality Technology
(Taylor Available online 1994)
卷期:
Volume 26,
issue 3
页码: 197-208
ISSN:0022-4065
年代: 1994
DOI:10.1080/00224065.1994.11979526
出版商: Taylor&Francis
关键词: Dunn-Sidak Inequality;Hotelling's T2Chart;Multivariate Quality Control;Simultaneous Confidence Intervals;X2Control Chart
数据来源: Taylor
摘要:
Many quality control problems are multivariate in character since the quality of a given product or object consists simultaneously of more than one variable. A good multivariate quality control procedure should possess three important properties, namely, the control of the overall error rate, the easy identification of errant variables, and the easy quantification of any changes in the variable means. In this paper a procedure is suggested based on the construction of exact simultaneous confidence intervals for each of the variable means that meets each of these three goals. Both parametric and nonparametric procedures are considered, and critical point evaluation through tables, numerical integration, and simulation is discussed. Various examples of the implementation of the procedure are given.
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