FACTOR SCREENING METHODS IN COMPUTER SIMULATION EXPERIMENTS.

Douglas Montgomery, Ginner Weatherby

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The use of a computer simulation model may be viewed as an experiment in which a set of k controllable factors are varied according to an experimental design, and the effect of these factors on the output observed. Usually not all k factors will be active, and considerble efficiency in the use of the model will result if the subset of active factors can be identified. Factor screening methods are useful in identifying the set of active factors. A discussion is presented of experimental design methods useful for factor screening in computer simulation. The general strategy recommended is group screening methods combined with 2**k** minus **p fractional factorial designs. Some variance reduction considerations are also discussed.

Original languageEnglish (US)
Pages (from-to)347-358
Number of pages12
JournalProgress in Crystal Growth and Characterization
Volume2
StatePublished - 1979
Externally publishedYes

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Screening
screening
computerized simulation
Design of experiments
Computer simulation
Experiments
factorial design
set theory
output

ASJC Scopus subject areas

  • Engineering(all)

Cite this

FACTOR SCREENING METHODS IN COMPUTER SIMULATION EXPERIMENTS. / Montgomery, Douglas; Weatherby, Ginner.

In: Progress in Crystal Growth and Characterization, Vol. 2, 1979, p. 347-358.

Research output: Contribution to journalArticle

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