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- Title
Conventional Analysis with Categorical Data from a Statistically Designed Experiment.
- Authors
Goh, T. N.
- Abstract
Insights are offered on the interpretation of results of analysis of designed experiments with response expressed on a nominal or ordinal scale, in terms of formulation of a cause-and-effect mathematical model as well as the subsequent choice of factor settings for a future desired response. As generic design of experiments software packages are based on procedures of parametric statistics, the inherent limitations peculiar to the analysis of categorical data by such software packages are illustrated by a numerical example for the benefit of non-statisticians among quality practitioners. Copyright © 2016 John Wiley & Sons, Ltd.
- Subjects
CATEGORIES (Mathematics); EXPERIMENTAL design; MATHEMATICAL models; NOMINAL measurement; ORDINAL measurement; SIX Sigma
- Publication
Quality & Reliability Engineering International, 2017, Vol 33, Issue 5, p1143
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.2069