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Response surface methodology is a type of experimental design in which the goal is to determine settings of inputs or predictor variables for optimizing the expected response. Topics covered include: First and Second-order models response surface and contour plots central composite designs Box-Behnken designs   The designs and methodology will be illustrated using examples from […]

This workshop will teach participants how to make sense of their output from linear statistical models, with an emphasis on the meaning of the model parameters. The workshop is intended for participants who have at least one semester of statistics and some previous experience with linear regression or ANOVA. This is a review and is […]