University of Illinois Urbana-Champaign 3-4 credits Statistics
Discussion of the principles of experimental design with applications in science, industry, and technology. In addition to standard experimental designs, such as block, factorial, and fractional factorial designs, more advanced methods are introduced, such as response surface and robust designs. Basic analysis of variance models and more sophisticated models such as random and mixed effects models are investigated theoretically and applied to the statistical analysis of these designs. Fundamental concepts of randomization, replication, and blocking are emphasized. 3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 420 or STAT 425, and completion of or concurrent enrollment in STAT 410.
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