Balanced Asymmetrical Nearly Orthogonal Designs for First and Second Order Effect Estimation

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Abstract

A method for constructing asymmetrical (mixed-level) designs, satisfying the balancing and interaction estimability requirements with a number of runs as small as possible, is proposed in this paper. The method, based on a heuristic procedure, uses a new optimality criterion formulated here. The proposed method demonstrates efficiency in terms of searching time and optimality of the attained designs. A complete collection of such asymmetrical designs with two- and three-level factors is available. A technological application is also presented.
Lingua originaleEnglish
pagine (da-a)373-386
Numero di pagine14
RivistaJournal of Applied Statistics
Volume33
Stato di pubblicazionePublished - 2006

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All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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