Smallest Composite Designs for Quadratic Response Surfaces

DOI10.2307/2527658zbMath0221.62029OpenAlexW2321200266MaRDI QIDQ5626072

H. O. Hartley

Publication date: 1959

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2527658

Mathematics Subject Classification ID

Factorial statistical designs (62K15)

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A class of composite designs for response surface methodology ⋮ Bayesian application to the two-stage near-saturated experimental design method with dispersion effects ⋮ Efficiencies of some small second-order designs ⋮ Small Robust Response-Surface Designs for Quantitative and Qualitative Factors ⋮ Connections between the resolutions of general two-level factorial designs ⋮ Efficient composite designs with small number of runs ⋮ Orthogonal Minimally Aliased Response Surface Designs for Three-Level Quantitative Factors and Two-Level Categorical Factors ⋮ Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design ⋮ Practical efficient alpha: Encompassing all alphas of central composite design ⋮ Determinant efficiencies in ill-conditioned models ⋮ Die Anwendung der Box-Wilsonschen Methode in der chemischen Industrie ⋮ Leverage and subset efficiencies in regression ⋮ Small, balanced, efficient and near rotatable central composite designs ⋮ Response surface designs using the generalized variance inflation factors ⋮ Capacity considerations for two-level fractional factorial designs ⋮ Enhanced design efficiency through least upper bounds ⋮ The Robustness of experimental designs against errors in the factor levels ⋮ Small response surface designs for metamodel estimation

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