An algorithm for arranging response surface designs in small blocks.

DOI10.1016/S0167-9473(99)00033-XzbMath1061.62551WikidataQ60567947 ScholiaQ60567947MaRDI QIDQ1566694

Luzia A. Trinca, Steven G. Gilmour

Publication date: 4 June 2000

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

BlockingBox--Behnken designCentral composite designInterchange algorithmScoresSecond-order modelWeighted mean efficiency factor

Mathematics Subject Classification ID

Statistical block designs (62K10) Response surface designs (62K20)

Related Items

Estimating the Intercept in an Orthogonally Blocked Experiment when the Block Effects are Random ⋮ A class of composite designs for response surface methodology ⋮ Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithm ⋮ An algorithmic framework for generating optimal two-stratum experimental designs ⋮ \(\mathcal{D}\)-optimal minimum support mixture designs in blocks ⋮ \(D\)-optimal response surface designs in the presence of random block effects. ⋮ Blocking response surface designs ⋮ Optimal versus orthogonal and equivalent-estimation design of blocked and split-plot experiments

Uses Software

• SAS
• SAS/QC

Cites Work

• Computer-Aided Blocking of Factorial and Response-Surface Designs
• The construction of exact D-optimum experimental designs with application to blocking response surface designs
• The Non-Orthogonal Design of Experiments
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