Journal ArticleDOI
The 2 k — p Fractional Factorial Designs
George E. P. Box,J. S. Hunter +1 more
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This article is published in Technometrics.The article was published on 1961-08-01. It has received 471 citations till now. The article focuses on the topics: Fractional factorial design & Yates analysis.read more
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Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments
TL;DR: This paper proposed a new causal estimand and showed that it can be nonparametrically identified and easily estimated from conjoint data using a fully randomized design, and then demonstrate the value of these techniques through empirical applications to voter decision making and attitudes toward immigrants.
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Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments
TL;DR: In this paper, the main effect plans for asymmetric factorial experiments are described, which permit uncorrelated estimates of all main effects when the interactions are negligible, and the possibilities of blocking these main-effect plans, the randomization procedure and the method of analysis are presented.
Journal ArticleDOI
Minimum Aberration 2 k–p Designs
Arthur Fries,William G. Hunter +1 more
TL;DR: In this article, the concept of aberration is proposed as a way of selecting the best designs from those with maximum resolution, and algorithms are presented for constructing these minimum aberration designs.
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A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects
TL;DR: This work proposes a new class of designs that have three levels, provide estimates of main effects that are unbiased by any second- order effect, require only one more than twice as many runs as there are factors, and avoid confounding of any pair of second-order effects.
Journal ArticleDOI
Simplex optimization of analytical chemical methods
References
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Journal ArticleDOI
A simple approach to confounding and fractional replication in factorial experiments
Journal ArticleDOI
Partial Duplication of Factorial Experiments
TL;DR: In this article, two level factorial and fractional factorial designs are described in which a subset of the treatment combinations are duplicated, and several analysis procedures are described and a numerical example is given.