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Response Surface Methodology and Subjective Data
1976The use of quadratic models in two or more variables to describe a subjective response is discussed. Attention is given to the principles of experimental design as well as to any special problems incurred by the use of ranking or rating data as a response. An example taken from the textile area serves as an illustration.
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Response surface methodology for constrained simulation optimization: An overview
Simulation Modelling Practice and Theory, 2008Abstract This article summarizes ‘generalized response surface methodology’ (GRSM), extending Box and Wilson’s ‘response surface methodology’ (RSM). GRSM allows multiple random responses, selecting one response as goal and the other responses as constrained variables. Both GRSM and RSM estimate local gradients to search for the optimum.
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Response Surface Methodology and Related Topics
2006Two-Level Factorial and Fractional Factorial Designs in Blocks of Size Two. Part 2 (Y J Yang & N R Draper) Response Surface Experiments on Processes with High Variation (S G Gilmour & L A Trinca) Random Run Order, Randomization and Inadvertent Split-Plots in Response Surface Experiments (J Ganju & J M Lucas) Statistical Inference for Response Surface ...
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Javier Cortés +2 more
exaly
Response Surface Methodology in Structural Reliability
1997We first propose to trace some streams of thought which have contributed directly to what we now call Response Surface Methodology (abbreviated to RSM). A mathematical description of RSM is given in section 2.
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Response Surface Methodology in Risk Analysis
1980The Response Surface Methodology as a general approach to the system identification is presented. The method organises several statistical techniques in order to provide an estimate of the p.d.f. of the output variable of the identified system as a function of the p.d.f.’s of the input variable, as the final result.
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The International Journal of Advanced Manufacturing Technology
Sathish Thanikodi +2 more
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Sathish Thanikodi +2 more
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