Bayesian application to the two-stage near-saturated experimental design method with dispersion effects

DOI10.1080/10629360500107410zbMath1157.62361OpenAlexW2044109855MaRDI QIDQ5290909

Darcy P. Mays

Publication date: 3 May 2006

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10629360500107410

zbMATH Keywords

I-optimalityempirical modelhybrid designssmall composite designsKoshal designs

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Sequential statistical design (62L05)

Cites Work

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• Statistical decision theory and Bayesian analysis. 2nd ed
• Design and analysis for a two-level factorial experiment in the presence of variance heterogeneity
• Small Composite Designs
• Dispersion Effects from Fractional Designs
• Analyzing Dispersion Effects from Replicated Factorial Experiments
• Hybrid Designs for Quadratic Response Surfaces
• Two-stage central composite designs with dispersion effects
• Near-saturated two-stage designs with dispersion effects
• Bayesian approach for the design and analysis of a two level factorial experiment in the presence of dispersion effects
• Smallest Composite Designs for Quadratic Response Surfaces
• A Simplex Method for Function Minimization
• A Basis for the Selection of a Response Surface Design
• THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS

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