Selection Of Non-Regular Fractional Factorial Designs When Some Two-Factor Interactions Are Important

JOURNAL OF MODERN APPLIED STATISTICAL METHODS（2008）

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摘要

A new method is proposed for selecting the optimal non-regular fractional factorial designs in the situation when some two-factor interactions are potentially important. Searching for the best designs according to this method is discussed and some results for the Plackett-Burman design of 12 runs are presented.

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关键词

Alias matrix, fractional factorial design, non-regular design, partial confounding, Plackett-Burman design

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