Premium
Estimating process capability indices for non‐normal pearsonian populations
Author(s) -
Pearn W. L.,
Chen K. S.
Publication year - 1995
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680110510
Subject(s) - estimator , mathematics , statistics , process capability , process capability index , engineering , work in process , operations management
Abstract Clements 1 introduced a method for calculating the estimators of two classical process capability indices (PCI), C p and C pk , for non‐normal Pearsonian populations. Pearn and Kotz 2 applied Clements' method to obtain first approximation estimators of PCIs for non‐normal populations to the two more advanced PCIs, C pm and C pmk developed by Chan et al. 3 and Pearn et al. 4 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.