George Box and the design of experiments: statistics and discovery

DOI10.1002/asmb.2017MaRDI QIDQ6570549

David M. Steinberg

Publication date: 10 July 2024

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

zbMATH Keywords

resolutioniterative learningfactorial designBox-Behnken designcentral composite designresponse surface methodsevolutionary operation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Treating bias as variance for experimental design purposes
• A measure of rotatability for second order response surface designs
• Comparison of designs for computer experiments
• Multi-Factor Experimental Designs for Exploring Response Surfaces
• DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS
• Simplex-Sum Designs: A Class of Second Order Rotatable Designs Derivable From Those of First Order
• Another Look at Rotatability
• The Importance of Practice in the Development of Statistics
• Model robust response surface designs: Scaling two-level factorials
• An Index of Rotatability
• Robust designs
• Science and Statistics
• Miscellanea. Some hidden projection properties of orthogonal arrays with strength three
• A Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on an Assumed Model
• Projective properties of certain orthogonal arrays
• SIXTEEN RUN DESIGNS OF HIGH PROJECTIVITY FOR FACTOR SCREENING
• An Accidental Statistician
• A Basis for the Selection of a Response Surface Design
• Locally Optimal Designs for Estimating Parameters
• THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS

This page was built for publication: George Box and the design of experiments: statistics and discovery