Response Modeling Methodology (RMM) - Some Empirical Evidence from Chemical Engineering

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationVIIth International Workshop on Intelligent Statistical Quality Control At: Waterloo, Canada
StatePublished - 2001

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