Title
Obtaining Confidence Intervals For Cpk Using Percentiles Of The Distribution Of Ĉp
Keywords
Inverse chi-square; Process capability index; Simulation
Abstract
Ĉpk is used as an estimate of process capability and can reflect performance degradation due to both shifts in the process mean and variability. Exact upper and lower confidence limits for the actual parameter value are elusive. Objections to existing estimators focus on two areas: the difficulty of executing the needed computations and the excessive widths of those confidence bounds. The CPE estimator (so called since it relies on Ĉp) which we derive in this paper is formed by simply multiplying Ĉpk by a value from the inverse chi-square distribution. A PASCAL computer program is supplied which generates those percentiles. Our CPE is compared via simulation to other estimators and is shown to be the preferred selection in most cases by providing the requisite probability coverage and narrow interval widths.
Publication Date
3-1-2001
Publication Title
Quality and Reliability Engineering International
Volume
17
Issue
2
Number of Pages
113-118
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1002/qre.389
Copyright Status
Unknown
Socpus ID
0035273023 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0035273023
STARS Citation
Hoffman, Lorrie L., "Obtaining Confidence Intervals For Cpk Using Percentiles Of The Distribution Of Ĉp" (2001). Scopus Export 2000s. 302.
https://stars.library.ucf.edu/scopus2000/302