Response Surface Designs for Experiments in Bioprocessing

DOI10.1111/j.1541-0420.2005.00444.xzbMath1097.62071OpenAlexW2078237749WikidataQ51143422 ScholiaQ51143422MaRDI QIDQ5492069

Steven G. Gilmour

Publication date: 12 October 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00444.x

zbMATH Keywords

biotechnologyfractional factorial designBox-Behnken designcentral composite designbioprocess engineering

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Factorial statistical designs (62K15) Response surface designs (62K20)

Related Items (11)

A class of composite designs for response surface methodology ⋮ A General Construction Method for Five-Level Second-Order Rotatable Designs ⋮ Robustness of classical and optimal designs to missing observations ⋮ Factorial and response surface designs robust to missing observations ⋮ Comparisons of augmented pairs designs and subset designs ⋮ Robustness to missing observation and optimalities of response surface designs with regular and complex structure ⋮ The performance of subset response surface designs for estimating third order terms ⋮ Orthogonal-array composite design for the third-order models ⋮ Orthogonal uniform composite designs ⋮ An Algorithmic Construction of Four-Level Response Surface Designs ⋮ Robustness of subset response surface designs to missing observations

Cites Work

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• Construction of response surface designs for qualitative and quantitative factors
• Controlling Processes in Food Technology by Simplifying the Canonical form of Fitted Response Surfaces
• Some practical advice on polynomial regression analysis from blocked response surface designs
• Economical Second-Order Designs Based on Irregular Fractions of the 3 n Factorial

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