Monitoring the manufacturing process becomes a challenging task with a huge number of variables in traditional multivariate statistical process control (MSPC) methods. However, the rich information is ...

In many control chart applications, it is useful to relate the variation of the process to other variables that are being observed simultaneously with the variable that is charted. You can use the ...

In this situation, it was shown by Gnanadesikan and Kettenring (1972), using a result of Wilks (1962), that T 2 i is exactly distributed as a multiple of a variable with a beta distribution.

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This paper deals with methods of quality control when observation-vectors are coming from a multivariate binomial or multivariate poisson population. The case when successive observations are ...