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The Generalized Word Count in Two-Level Fractional Factorial Designs

Published: October 13, 2025 | arXiv ID: 2510.11609v1

By: Xietao Zhou, Steven G. Gilmour

Potential Business Impact:

Finds important causes from many options.

Business Areas:
A/B Testing Data and Analytics

Unreplicated two-level factorial designs are often used in screening experiments to determine which factors out of a large plausible set are active. A theorem regarding the generalized word count pattern is stated and proved for unreplicated designs. It is shown that a phenomenon regarding optimal designs seen in the recent literature can be explained by the theorem obtained.

Country of Origin
🇬🇧 United Kingdom

Page Count
6 pages

Category
Statistics:
Methodology