R: Control Limit and Diagnostic Threshold Construction Object

climit.object {spc4sts}

R Documentation

Control Limit and Diagnostic Threshold Construction Object

Tthe object returned by climit or climit2.

`type`	the `type` argument of `climit`.
`fa.rate`	the `fa.rate` argument of `climit`.
`localStat`	contains values for local defect monitoring: `nDmaxSms` is a vector that stores the `(nD*N + 1)` largest SMS values computed for all `N` Phase I images. `PIstats` is a vector that stores the monitoring statistics computed for all the Phase I images. `diagnostic.threshold` is a scalar/vector that stores the established diagnostic threshold(s). `stat` and `w` are the `stat` and `w` arguments of the `climit` function. `control.limit` is a scalar/vector that stores the established control limit(s).
`globalStat`	contains values for global change monitoring: `PIstats` is a vector that stores the monitoring statistics computed for all the Phase I images. `xval` is the `xval` argument of the `climit` function. `control.limit.trans_chi2` and `control.limit.ecdf` are a scalar/vector that stores the established control limit(s) using the parametric approximation of the empirical distributions and the empirical distributions directly, respectively. The former is recommended when the number of Phase I images is not enough for using directly the empirical distribution.

Anh Bui

Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.

Bui, A.T. and Apley, D.W. (2018b) "Monitoring for changes in the nature of stochastic textured surfaces", Journal of Quality Technology, 50, 363-378.