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QICID: 18206
Title: Modeling a Response With Self-Generated and Externally Generated Sources of Variation
Copyright: 2002, ASQ and Marcel Dekker, Inc.
Author: Shore, Haim
Organization: Ben-Gurion University of the Nagev, Beer-Sheva, Israel (shor@bgumail.bgu.ac.il)
Subject: Data analysis,Goodness of fit,Variation,Variable control charts,Software quality;
Series: Quality Engineering, Vol. 14, No. 4, June 2002, pp. 563-578
Abstract: [This abstract is based on the author's abstract.] Much of engineering and scientific research effort is focused on attempts to model the variation of a random response in terms of the factors that affect it and its own self-generated variability. A survey of models in various scientific and engineering disciplines shows that they share certain common features that could be captured by a single generalized model. This would be advantageous to the quality engineer who must model a quality response in terms of the affecting factors while domain-specific theory is either nonexistent or insufficiently developed. A new model is described that is based on recently developed inverse normalizing transformations. The model provides the quantile-relationship between a response and the factors that affect it, assuming only that this relationship is either uniformly convex or concave. The new model is a generalization of models currently in use in three disparate engineering disciplines. The competence of the approach is demonstrated using previously published data sets.
Number of pages: 16
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