Estimating process capability indices for non-normal Pearsonian populations

W.l. Pearn*, K. S. Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

Clements introduced a method for calculating the estimators of two classical process capability indices (PCI), Cp and Cpk, for non-normal Pearsonian populations. Pearn and Kotz applied Clements' method to obtain first approximation estimators of PCIs for non-normal populations to the two more advanced PCIs, Cpm and Cpmk developed by Chan et al. and Pearn et al. In this paper, we consider a different approach for calculating the estimators of the four PCIs. The new approach may be viewed as a modification of Clements' method. Comparisons between Clements' and the proposed new methods are also provided.

Original languageEnglish
Pages (from-to)386-388
Number of pages3
JournalQuality and Reliability Engineering International
Volume11
Issue number5
DOIs
StatePublished - 1 Jan 1995

Fingerprint Dive into the research topics of 'Estimating process capability indices for non-normal Pearsonian populations'. Together they form a unique fingerprint.

  • Cite this