Journal ArticleDOI
An algorithmic approach to constructing supersaturated designs
TLDR
In this article, a generalization of the method of Lin for constructing supersaturated designs is presented, and a more general approach to constructing these designs is described, based on balanced incomplete block designs.Abstract:
Supersaturated designs are very cost-effective to scientists and engineers at the primary stage of scientific investigation. This article describes a method of constructing supersaturated designs from balanced incomplete block designs that is a generalization of the method of Lin for constructing these designs and a more general approach to constructing these designs.read more
Citations
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Journal ArticleDOI
Subset Selection in Regression
TL;DR: Chapman and Miller as mentioned in this paper, Subset Selection in Regression (Monographs on Statistics and Applied Probability, no. 40, 1990) and Section 5.8.
Journal ArticleDOI
Response Surface Methodology: A Retrospective and Literature Survey
Raymond H. Myers,Douglas C. Montgomery,G. Geoffrey Vining,Connie M. Borror,Scott M. Kowalski +4 more
TL;DR: This review paper focuses on RSM activities since 1989, and discusses current areas of research and mention some areas for future research.
Journal ArticleDOI
Experimental designs and their recent advances in set-up, data interpretation, and analytical applications.
TL;DR: In this review, the set-up and data interpretation of experimental designs (screening, response surface, and mixture designs) are discussed and an adaptation of the algorithm of Dong and the estimation of factor effects from supersaturated design results are discussed.
Journal ArticleDOI
A method for constructing supersaturated designs and its Es2 optimality
TL;DR: In this article, a general method for constructing supersaturated designs is proposed and shown to produce designs with n runs and m = k(n − 1) factors that achieve the lower bound for Es2 and are thus optimal with respect to the Es2 criterion.
Book
A Comprehensive Guide to Factorial Two-Level Experimentation
TL;DR: Fractional Factorial Design Examples: The basics of fractional factorial designs are discussed in detail in this article, where the authors present an analysis of full-factorial experiments with two-level factors.
References
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Book
Subset Selection in Regression
TL;DR: In this paper, Efroymson's algorithm was used to replace two variables at a time with all subsets using branch-and-bound techniques. But the results showed that one subset was better than another.
Journal ArticleDOI
Subset Selection in Regression
TL;DR: Chapman and Miller as mentioned in this paper, Subset Selection in Regression (Monographs on Statistics and Applied Probability, no. 40, 1990) and Section 5.8.
Book ChapterDOI
Optimum Experimental Designs
TL;DR: In this article, the authors discuss certain basic considerations such as the nonoptimality of the classical symmetric (balanced) designs for hypothesis testing, the optimality of designs invariant under an appropriate group of transformations, etc.
Journal ArticleDOI
A new class of supersaturated designs
TL;DR: In this paper, a new class of supersaturated designs is constructed using half fractions of Hadamard matrices, which can investigate up to N − 2 factors in N/2 runs.