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Journal ArticleDOI

Minimum Aberration 2 k–p Designs

Arthur Fries, +1 more
- 01 Nov 1980 - 
- Vol. 22, Iss: 4, pp 601-608
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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.

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Citations
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Journal ArticleDOI

Design of experiments for performance evaluation and parameter tuning of a road image processing chain

TL;DR: An adaptive IPC based on a neural network working on input image descriptors is developed and it is demonstrated that this experimental methodology and software architecture can ensure continuous efficiency.
Journal ArticleDOI

A note on minimum aberration and clear criteria

TL;DR: In this paper, it was shown that the maximum number of clear 2FIs in 2 m - (m - q ) designs in 2 l blocks is n/ 2 - 1 when q - l ⩾ 2.
Journal ArticleDOI

Defining equations for two-level factorial designs

TL;DR: In this article, defining equations are introduced in the context of two-level factorial designs and they are shown to provide a concise specification of both regular and non-regular designs.
Journal ArticleDOI

Three-level regular designs with general minimum lower-order confounding

TL;DR: In this article, the authors extend the general minimum lower-order confounding (GMC) criterion to the case of three-level designs and introduce an aliased component number pattern (ACNP) and a threelevel GMC criterion via the consideration of component effects, and obtain some results on the new criterion.
Book ChapterDOI

Design-Plots for Factorial and Fractional-Factorial Designs

TL;DR: In this article, a set of run conditions for factorial and fractional factorial designs is presented, and a design-plots for viewing the set of conditions for experiment designs is developed.
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, +1 more
- 01 Dec 1976 - 
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.