climit.object: Control Limit and Diagnostic Threshold Construction Object

Description Value Author(s) References See Also

Description

Tthe object returned by climit or climit2.

Value

type

the type 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. a, b, and k are the first three sample central moments of the global change monitoring statistics computed for the set of Phase I images (see Bui and Apley 2017b). These parameters are used to approximate the empirical distribution of PIstats. 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.

Author(s)

Anh Bui

References

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, to appear.

See Also

climit


spc4sts documentation built on April 10, 2018, 1:04 a.m.