Could anyone point me in the right direction in terms of better understanding of the statistical details behind the "MissClassification Probabilities Report" generated in JMP's Variability Attribute Gauge Platform?
How are these calculated on the basis of an anlysis on a continouous Y vs Categorical Xs (such as in Gauge R&R when we have Measurement vs Operator, Part and Operator*Part).
I am familiar with the concepts of alpha and beta, and their complements. How are these related to alpha and beta?
Here's what I found in the JMP Help (Quality and Process Methods Book):
This is a page with additional explanation we use when describing JMP's misclassification probabilities output.
Hope this helps a wee bit.
Detailed formulas are given in the documentation at the following link: