Dispersion effects in signal-response data from fractional factorial experiments

P. C. Wang*, D. F. Lin

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)95-111
Number of pages17
JournalComputational Statistics and Data Analysis
Volume38
Issue number1
DOIs
StatePublished - 28 11 2001
Externally publishedYes

Keywords

  • Dispersion effects
  • Regression
  • SN ratio
  • Score statistics
  • Slope effects

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