Open AccessBook
Fractional Factorial Plans
Aloke Dey,Rahul Mukerjee +1 more
TLDR
Fractional plans and orthogonal arrays have been extensively studied in the literature, see as discussed by the authors for a survey of some of the most relevant works. But nonexistence of fractional plans has been discussed.Abstract:
Fractional Plans and Orthogonal Arrays. Symmetric Orthogonal Arrays. Asymmetric Orthogonal Arrays. Some Results on Nonexistence. More on Optimal Fractional Plans and Related Topics. Trend-Free Plans and Blocking. Some Further Developments. Appendix. References. Index.read more
Citations
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On-Line Electrical QualityImprovement ofa SinglePhaseBoostRectifier with Fuzzy Controller and Experimental Designs
TL;DR: In this article, experimental design methodology is used for tuning a fuzzy controller dedicated to electrical engineering applications with multi-objective criteria to improve the input and output system characteristics as well as the quality of electrical power.
Posted Content
Orthogonal Subsampling for Big Data Linear Regression
TL;DR: In this article, an orthogonal subsampling (OSS) approach for big data with a focus on linear regression models is proposed, which minimizes the average variance of the estimated parameters and provides the best predictions.
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Mixed Level Dispersion Experiments
TL;DR: In this article, the authors provided a general method of constructing such arrays and their applications to obtain several asymmetric compound orthogonal arrays for mixed level dispersion experiments, which are universally optimal even if the model includes some more parameters.
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Efficiency factors for natural contrasts in partially confounded factorial designs
Aloke Dey,Rahul Mukerjee +1 more
TL;DR: In this article, an explicit expression for the efficiency factors of natural contrasts of the forms linear, linear × linear and linear × quadratic was derived for the case of general s -level factorials where s > 3.
References
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Non-Orthogonal Designs of Even Resolution*
TL;DR: In this paper, it was shown that the smallest resolution 4 designs for n factors at two levels must contain at least 2n runs, and that "foldover" designs are available with 2 n runs.