Examples using SAS. (Page numbers correspond to course notes.)

• Myers (1976) Table 3.5 data on reduction in yield for various temperature levels (20-23).

• Mason, Gunst, and Hess (1989) Table 22.2 data on tire treadwear (27-36).

• 2^2 design from Montgomery (2001) Problem 6-5 on page 277 (42-43).

• 2^3 design from Montgomery (2001) Problem 6-1 on page 276 (44-52).

• Unreplicated 2^4 design from Montgomery (2001) Problem 6-23 on pages 282-283 (54-58).

• Using SAS Proc Factex to generate a 2^5 design with four blocks of size 8 (62-63).

• Four blocks of size 4 for a 2^4 design using data from Montgomery (2001) Problem 6-23 on pages 282-283 (64-67).

• Using SAS to generate a design with 8 blocks of size 4 from a 2^5 design (68-69).

• Using SAS to generate a 2^(6-2) design (81-85).

• Using SAS Proc Factex to generate a 2^(6-2) design. (86-87)

• Using SAS Proc Factex to generate a 2^(6-1) design in 2 blocks of size 16. (90-92)

• Foldover design example (97-101).

• 12-run Plackett-Burman design with 6 factors (105-108).

• Path of steepest ascent and descent (113-116).

• RSREG output with contour plots for Example 1 (124,126-131).

• RSREG output with contour plots for Example 2 (125,132-136).

• RSREG output with contour plots for Example 3 (126,137-141).

• Ridge analysis using RSREG with ridge plots (144-149).

• Ridge analysis using RSREG for 3 factor CCD from Khuri and Cornell -- page 190 (150-155).

• D-Efficient designs generated by SAS PROC OPTEX, SAS code for #1 and #2 (186-189,198).

• Efficiencies fo k=3 face-centered cube design with 4 center points using SAS PROC OPTEX, SAS code #3 (190,198).

• Augmenting an existing design using PROC OPTEX, SAS code #4 (191-193,199).

• Generate a design for the model given in the Welch et al 1990 JQT article, SAS code #5 (194-197,199).

• Efficiencies for 2^4 and 2^(6-2) designs using PROC OPTEX (200-202).

• G-efficient designs using the D and A criteria in PROC OPTEX (202-204).

• IV-efficient designs using the D criteria in PROC OPTEX and its sensitivity to the candidate set (205-206).

• Computer-generated design for a restricted design space using PROC OPTEX (207-209).

• Three-component sweetener experiment from Khuri and Cornell (1987) (226-232).

• Computer-generated mixture designs using PROC OPTEX (233-240).

Data sets and SAS code for assignments.

• Myers and Montgomery, Problem 2.6, page 77.

• Part I of SAS code for Myers and Montgomery, Problem 3.13, p. 149.

• Parts II and III of SAS code for Myers and Montgomery, Problem 3.13, p. 149.

• Myers and Montgomery, Problem 4.13, p. 199-200.

• Midterm exam data set.

• Myers and Montgomery, Problem 6.4.

• Final exam data set for Problem 4.

• Final exam data set for Problem 5.