Journal ArticleDOI
Minimum Aberration 2 k–p Designs
Arthur Fries,William G. Hunter +1 more
TLDR
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.Abstract:
For studying k variables in N runs, all 2 k–p designs of maximum resolution are not equally good. In this paper the concept of aberration is proposed as a way of selecting the best designs from those with maximum resolution. Algorithms are presented for constructing these minimum aberration designs.read more
Citations
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Journal ArticleDOI
Maximum estimation capacity and minimum aberration
Ching-Shui Cheng,Don X. Sun +1 more
Journal ArticleDOI
Discussion of “Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application”
Ofir Harari,Derek Bingham +1 more
TL;DR: In this article, the use of nonparametric regression (Bayesian or otherwise) is used to smooth out noisy evaluations of optimal value evaluations of an optimization problem. But, the authors do not consider the impact of non-parametric regressions on optimal value evaluation.
References
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Book
Applications of Statistics to Industrial Experimentation
TL;DR: In conclusion, the size of Industrial Experiments, Fractional Replication--Elementary, and Incomplete Factorials are found to be about the same as that of conventional comparison experiments.
Journal ArticleDOI
Applications in Statistics to Industrial Experimentation.
F. N. David,C. Daniel +1 more
TL;DR: Incomplete Factorials, Fractional Replication, Intermediate Factorial, and Nested Designs as discussed by the authors are some of the examples of incomplete Factorial Experiments and incomplete fractional replicates.