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Response Surfaces: Designs and Analyses
Technometrics, 1988Introduction to response surface methodology matrix algebra, least squares, the analysis of variance, and principles of experimental design first-order models and designs second-order models and designs determining optimum conditions methods of ...
Michael L. Deaton +2 more
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"Repairing" Response Surface Designs
Technometrics, 1972This note considers a method, recently described by Dykstra, for augmenting existing data in response surface experiments. Examples are given to show how this relatively simple approach can be usefully applied, not only to design repair problems, but to situations in which the experimenter, after reviewing his initial results, decides to change his ...
T. L. Hebble, T. J. Mitchell
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Phosphatase responsive peptide surfaces
Journal of Materials Chemistry, 2012The development of interactive surfaces able to respond to biological cues is of interest for the development of next generation biomaterials. We report the design, synthesis and characterisation of an enzyme responsive peptide based surface whose chemical properties change upon catalytic action of alkaline phosphatase (AP).
Zelzer, Mischa +5 more
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Science, 2002
Synthetic polymers offer a wealth of opportunities to design responsive materials triggered by external stimuli. Changing the length, chemical composition, architecture, and topology of the chains allows response mechanisms and rates to be easily manipulated; and devices based on the entropy of the chains, surface energies, and specific segmental ...
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Synthetic polymers offer a wealth of opportunities to design responsive materials triggered by external stimuli. Changing the length, chemical composition, architecture, and topology of the chains allows response mechanisms and rates to be easily manipulated; and devices based on the entropy of the chains, surface energies, and specific segmental ...
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Journal of Quality Technology, 1996
(1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Raymond H. Myers, Douglas C. Montgomery
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(1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Raymond H. Myers, Douglas C. Montgomery
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2017
Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
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Experiments for fitting a predictive model involving several continuous variables are known as response surface experiments. The objectives of response surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location.
Angela Dean +2 more
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2004
Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
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Abstract : There is a problem faced by experimenters in many technical fields, where, in general, the response variable of interest is y, and there is a set of predictor variables x1, x2,...xk. For example, in Dynamic Network Analysis (DNA) Response Surface Methodology (RSM) might be useful for sensitivity analysis of various DNA measures for different
Jeff Reminga +2 more
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2018
Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
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Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
Dharmaraja Selvamuthu, Dipayan Das
openaire +1 more source