Dispersion effects in signal-response data from fractional factorial experiments

The identification of dispersion effects is as important as that of location effects in industrial experiments for improving a manufacturing process. Many good procedures have been proposed for conducting identification when the data resulting from the experiment are produced via a simple response system. However, the identification of dispersion effects in the data from a signal-response system does not attract many researchers. The generalization of methods in the usual data from a simple response system to the data from a signal-response system is a good approach. In this article, two existing methods for the analysis of the data from a signal-response system and extend several methods in the usual data to the data from a signal-response system are reviewed, Comparisons among these methods are made using simulations and an example. (C) 2001 Elsevier Science B.V. All rights reserved.