Recently (Shore, 2001), a new approach has been suggested , which models a response that is subject to both self-generated random variation and externally-generated systematic and random variation. The main claim for universal validity of the new model has been that this is a natural generalization of current mainstream models in various unrelated scientific and engineering disciplines. The purpose of this paper is to provide the quality practitioner with a sample survey of current mainstream models in chemical engineering, and show how these models may be derived as special cases from the new model. A major implication of this survey and others is that the new general model may be conveniently applied to various quality problems where theory-based models for the response are non-existent or where the goodness-of fit of current empirically derived models is unsatisfactory.
|Title of host publication||VIIth International Workshop on Intelligent Statistical Quality Control At: Waterloo, Canada|
|State||Published - 2001|