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- W2189216306 abstract "The concept of response surface methodology can be used to establish an approximate explicit functional relationship between input random variables and output response through regression analysis and probabilistic analysis can be performed. Response Surface Methodology (RSM) is a collection of mathematical and statistical techniques useful for the modeling and analysis of problems. By careful design of experiments, the objective is to optimize a response (output variable) which is influenced by several independent variables (input variables). An experiment is a series of tests, called runs, in which changes are made in the input variables in order to identify the reasons for changes in the output response. It is the process of identifying and fitting an approximate response surface model from input and output data obtained from experimental studies or from the numerical analysis where each run can be regarded as an experiment." @default.
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- W2189216306 date "2014-01-01" @default.
- W2189216306 modified "2023-09-26" @default.
- W2189216306 title "APPLICATION OF RESPONSE SURFACE METHODOLOGY: DESIGN OF EXPERIMENTS AND OPTIMIZATION: A MINI REVIEW" @default.
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