750—Response Surface Methodology. (3) (Prereq: STAT 701 or 705 or consent of department) Methods for fitting (regression) response surfaces and interpreting them subject to random error. Includes designs and industrial process optimization methods.
Usually Offered: Occasionally in Summers
Purpose: To provide graduate students in Statistics and other disciplines with methodology to fit and interpret first- and second-order regression models, and empirical process optimization methods derived from these. Also, issues related to efficient design of experiments to fit response surfaces.
Current Textbook: Empirical Model-Building and Response Surfaces, by George E.P. Box and Norman R. Draper, John Wiley and Sons, 1987.
|Introduction; Matrix algebra review||1,2, Appendix 3 C||1 week|
|Regression review||3||1 week|
|Graphical representations of functions||handouts||0.5 weeks|
|Fitting and interpreting first order surfaces||4,5||2 weeks|
|Fitting and interpreting second order surfaces||7,9,10,11||3 weeks|
|Steepest ascent and other optimization methods||6||1.5 weeks|
|Specialized experimental designs for second order surfaces||13,14||1.5 weeks|
|Experiments with mixtures||handouts||1 week|
|Nonlinear regression models||12, Appendix 3D||1 week|
Contact Faculty: Don Edwards