Minimum, maximum, and average spherical prediction variances for central composite and box-behnken designs

DOI10.1080/03610929508831634zbMath0875.62380OpenAlexW2062702285MaRDI QIDQ4337085

John J. Borkowski

Publication date: 19 May 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831634

zbMATH Keywords

Lagrange multipliershyperspherical coordinatesprediction variancerotatable designsvariance dispersion graph

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (3)

New 3-level response surface designs constructed from incomplete block designs ⋮ Maximum and Minimum Prediction Variance for Spherical and Cuboidal Split Plot Designs ⋮ Analytical Characterization of the Information Matrix for Split-Plot Designs

Cites Work

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• First and second order rotatability of experimental designs, moment matrices, and information surfaces
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• Another Look at Rotatability
• A Measure of Rotatability for Response-Surface Designs
• An Index of Rotatability
• Optimum Composite Designs

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