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.

BARONE S, LOMBARDO A (2006). Balanced Asymmetrical Nearly Orthogonal Designs for First and Second Order Effect Estimation. JOURNAL OF APPLIED STATISTICS, 33(4), 373-386 [10.1080/02664760500448917].

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

BARONE S;LOMBARDO A
2006-01-01

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.
2006
Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologica
BARONE S, LOMBARDO A (2006). Balanced Asymmetrical Nearly Orthogonal Designs for First and Second Order Effect Estimation. JOURNAL OF APPLIED STATISTICS, 33(4), 373-386 [10.1080/02664760500448917].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/30027
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