A multivariate T-2 control chart for skewed populations using weighted standard deviations

Cited 19 time in webofscience Cited 0 time in scopus
  • Hit : 306
  • Download : 0
This paper proposes a heuristic method of constructing multivariate T-2 control charts for skewed populations based on 'weighted standard deviations', obtained by decomposing the standard deviation into upper and lower deviations according to the direction and degree of skewness. The proposed method adjusts the variance-covariance matrix of quality characteristics and modifies the ellipsoidal probability density function contour of the multivariate normal distribution to a shape similar to that of the skewed distribution. False alarm rates and out-of-control average run lengths of the proposed control chart are compared with those of the standard control chart for multivariate lognormal, Weibull and gamma distributions, and the results show that considerable improvement over the standard method can be achieved when the distribution is skewed. Copyright (C) 2003 John Wiley Sons, Ltd.
Publisher
Wiley-Blackwell
Issue Date
2004
Language
English
Article Type
Article
Citation

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, v.20, no.1, pp.31 - 46

ISSN
0748-8017
DOI
10.1002/qre.541
URI
http://hdl.handle.net/10203/79101
Appears in Collection
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 19 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0