A Multivariate Process Variability Monitoring Based on Individual Observations
Abstract
In order to have a better understanding whether or not an additional observation has changed the covariance structure, a new statistic will be introduced. Under normality assumption, its asymptotic distribution will be presented and for practical purpose a chi-square approximation will be discussed. An industrial application in monitoring process variability will be presented to illustrate its advantage.
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Modern Applied Science ISSN 1913-1844 (Print) ISSN 1913-1852 (Online)
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Modern Applied Science


