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Journal of Korean Society for Quality Management > Volume 26(2); 1998 > Article
Journal of Korean Society for Quality Management 1998;26(2): 51-.
Control Chart for Correlation Coefficients of Correlated Quality Variables
ABSTRACT
Exponetially weighted moving average(EWMA) control chart to simultaneously monitor correlation coefficients of several correlated quality variables under multivariate normal process are proposed. Performances of the proposed control charts are measured in terms of average run length(ARL) by simulation. Numerical results show that smaller values of smoothing constant are more efficient in terms of ARL.
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