Box wrote that " essentially, all models are wrong, but some are useful " in his book on response surface methodology with Norman R . Draper.
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In statistics, "'response surface methodology ( RSM ) "'explores the relationships between several explanatory variables and one or more response variables.
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In 1988, the company released its first version of Design-Expert software, which provided the tools for response surface methods ( RSM ) for process optimization.
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Box repeated the aphorism twice more in his 1987 book, " Empirical Model-Building and Response Surfaces " ( which was co-authored with Norman Draper ).
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Patrick J . Whitcomb, Mark J . Anderson, RSM Simplified : Optimizing Processes Using Response Surface Methods for Design of Experiments, Productivity Press ( November 17, 2004 ).
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The United States Environmental Protection Agency ( EPA ) evaluated the physicochemical properties of nine surfactants used in the remediation of perchloroethylene ( PCE ) in aqueous solutions using a response surface quadratic design model of experiment.
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A driving force for their use has been the development of massively parallel systems for high performance computing, which are naturally suited to distributing the function evaluations from multiple disciplines that are required for the construction of response surfaces.
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They also developed statistical tools in 2008 to calculate power for a broad range of experimental designs and precision as a power substitute via fraction of design space ( FDS ) for response surface methods ( RSM ) and mixture design.
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In practice, one rarely encounters " l " > 2 levels in fractional factorial designs, since response surface methodology is a much more experimentally efficient way to determine the relationship between the experimental response and factors at multiple levels.
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Reliability-based optimization ( RBO ) is a growing area of interest in MDO . Like response surface methods and evolutionary algorithms, RBO benefits from parallel computation, because the numeric integration to calculate the probability of failure requires many function evaluations.
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