Minimax Designs for the Stability of Slope Estimation on Second-order Response Surfaces

DOI10.1080/02664760600744447zbMath1119.62351OpenAlexW2079169027MaRDI QIDQ3592639

No author found.

Publication date: 13 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760600744447

zbMATH Keywords

minimax criterionstability measurepoint dispersion measureslope variancestable design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Response surface designs (62K20)

Cites Work

• A note on slope rotatability over all directions
• Spherical Prediction-Variance Properties of Central Composite and Box-Behnken Designs
• Quantile plots of the average slope variance for response surface designs
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• A Class of Multifactor Designs for Estimating the Slope of Response Surfaces
• Slope-Rotatable Central Composite Designs
• Slope-rotatable designs with equal maximum directional variance for second order response surface models
• On d- and e- minimax optimal designs for estimating the axial slopes of a second-order response surface over hypercubic regions
• Minimizing the maximum variance of the difference between two estimated responses

This page was built for publication: Minimax Designs for the Stability of Slope Estimation on Second-order Response Surfaces