I This course emphasizes methods for solving complex problems, both in the industrial and research environments. Design of experiments, randomization and blocking, factorial designs, nested designs, fixed, random, and mixed effects models, fractional factorial designs, use of covariates, response surface methods. JMP software is used extensively. SAS or JMP, and SPlus will be used. Design of Experiments II Experimental design strategies and issues that are often encountered in practice, but that are typically not covered in an introductory course.
Participants develop a high degree of expertise and proficiency in experimental design.
Industrial situations are the focus of the course, and participants are encouraged to bring their experimental design issues to class. Although the course reviews the basics of experimental design and analysis, participants should have some prior experience with factorial experiments and their analysis. Split Plotting and Strip Plotting. Crossover Design Strategies. Latin Squares and Rectangles, Youden Squares.