Process Capability Indices
A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.
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approximate beta distribution bootstrap calculation Chan chi-squared distributions Chou Cjkp confidence interval Cp and Cpk Cpm index Cpmk d d d d d defined degrees of freedom denominator density function distribution of Cpk estimator of Cpk expected proportion expected value f-distribution fN fN fN O fN fN oo folded normal distribution formula Gamma i(LSL interval for Cpk Johnson Kocherlakota Kotz loss function matrix measures method mutually independent natural estimator NC items NC product non-normality normal distribution Note o o o o obtain OO fN oo oo OOOOO OOOOO PCIs Pearn Poisson distribution process capability indices process distribution proportion of NC quality control Quality Progress random variables sample skewness specification limits specification region standard deviation statistical sufficient statistics Taam Table Taguchi target value tion tolerance intervals unbiased estimator univariate values of Cp variance-covariance matrix variation zero