The Generalized Word Count in Two-Level Fractional Factorial Designs

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.

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Journal
ArXiv.org
Published
2025-10-13
Primary Topic
Critical Realism in Sociology
Type
article
Field-Weighted Citation Impact
0.00

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article

The Generalized Word Count in Two-Level Fractional Factorial Designs

ArXiv.org
Critical Realism in Sociology
article

The Generalized Word Count in Two-Level Fractional Factorial Designs

article en

Abstract

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.

ArXiv.org
King's College London (GB)
China Scholarship Council
Openalex Percentile: Top 36%
Critical Realism in Sociology
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The Generalized Word Count in Two-Level Fractional Factorial Designs · ArXiv.org (2025) | TGRS Research Map | TGRS