Course Homepage: not availiable

Usually Offered: not on a regular basis

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.

 

Topics Covered	Chapters	Time
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
Transformations	8	1 week
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
(Last Updated: July 11, 2008)