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Response Surface Methodology

2020
Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Péter Zénó Korondi   +2 more
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Response Surfaces and Robust Design

ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1999
AbstractResponse surface methods can be applied for building both global and mid‐range approximation models, to be used in structural optimization as an interface between analysis tools and optimization algorithms. This approach is particularly promising in those areas, where the structural behaviour or analysis process exhibits noise, because ...
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Relating isobolograms to response surfaces

Toxicology, 1995
The interaction index, isobologram and the appropriate contour of constant response of a dose response surface each offer essentially equivalent information regarding departures from additivity in a chemical combination. The benefit of relating the interaction index and isobolograms to a contour of a fitted dose response surface is that departures from
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Diet space and response surfaces

Journal of Theoretical Biology, 1973
Abstract Proximate analyses of diets for monogastrics are presented as points in an equilateral triangular region of a plane. Arrays of lines of constant dietary energy and lines normal to them are discussed. Examples of growth efficiency of rats and chickens as experimental response to dietary levels of various types of protein are presented.
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The cell surface in immune response

European Journal of Cancer (1965), 1970
Abstract The occurence of tumor specific surface antigens in experimental systems is firmly established and evidence is accumulating for their existence on human lumor cells. Both cell and antibody mediated immune reactions against such antigens can be demonstrated.
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Response Surface Designs for Experiments in Bioprocessing

Biometrics, 2005
SummaryMany processes in the biological industries are studied using response surface methodology. The use of biological materials, however, means that run‐to‐run variation is typically much greater than that in many experiments in mechanical or chemical engineering and so the designs used require greater replication.
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Response Surfaces: Designs and Analyses, Empirical Model-Building and Response Surfaces

Journal of Quality Technology, 1988
(1988). Response Surfaces: Designs and Analyses, Empirical Model-Building and Response Surfaces. Journal of Quality Technology: Vol. 20, No. 3, pp. 214-216.
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Response Surface Methodology

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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Response Surface Modelling

2012
Response surface modelling is introduced and its bond to design of experiments is discussed. Several RSM techniques are presented from a theoretical point of view throughout the chapter. Among the various techniques described the typical approximation by least squares method is found, as well as the different weighted-average interpolating methods such
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Response Surfaces: Designs and Analyses

Technometrics, 1988
Michael L. Deaton   +2 more
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