STATS 570
Experimental Design
Basic design principles, review of analysis of variance, block designs, two-level and three-level factorial and fractional factorial experiments, designs with complex aliasing, data analysis techniques and case studies, basic response surface methodology, variation reduction and introductory robust parameter designs. Design principles, review of analysis of variance, block designs, interactions effects, factorial and fractional factorial experiments, incomplete and unreplicated designs, data analysis techniques and case studies, response surface methodology, variance reduction and robust parameter design.
Prerequisites & course information
Background in regression at the level of STATS 413 or IOE 366, and graduate standing. (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Experimental Design · 3 · Graduate credit
- Experimental Design · Undergraduate credit