Search results for "two- and three-level designs"

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Construction and optimality of a special class of balanced designs

2006

The use of balanced designs is generally advisable in experimental practice. In technological experiments, balanced designs optimize the exploitation of experimental resources, whereas in marketing research experiments they avoid erroneous conclusions caused by the misinterpretation of interviewed customers. In general, the balancing property assures the minimum variance of first-order effect estimates. In this work the authors consider situations in which all factors are categorical and minimum run size is required. In a symmetrical case, it is often possible to find an economical balanced design by means of algebraic methods. Conversely, in an asymmetrical case algebraic methods lead to e…

Mathematical optimizationOrthogonality (programming)Computer scienceHeuristic (computer science)Property (programming)Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaManagement Science and Operations Researchbalancingnearly orthogonalarraytwo- and three-level designsoptimalityEmpirical researchMinimum-variance unbiased estimatorEconometricsinteraction estimabilityAlgebraic numberSafety Risk Reliability and QualityMarketing researchCategorical variableasymmetrical (mixed-level) design
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Balanced Asymmetrical Nearly Orthogonal Designs for first and second order effect estimation

2006

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.

Statistics and ProbabilityEstimationMathematical optimizationOptimality criterionSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaOrder effectStatistics Probability and UncertaintyHeuristic procedureBalancing asymmetrical (mixed-level) designs nearly orthogonal arrays optimality two- and three-level designsMathematicsJournal of Applied Statistics
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