Department of Statistics

Current Sections Recent Intructors Dickey, Dave	ST 711	Design of Experiments
	Course Description Review of completely randomized, randomized complete block and Latin square designs and basic concepts in the techniques of experimental design. Designs and analysis methods in factorial experiments, confounded factorials, response surface methodology, change-over design, split-plot experiments and incomplete block designs. Examples used to illustrate application and analysis of these designs. Course Syllabus Uses and cornerstones of experimental design, factorial treatment combinations Linear model in matrix form, coding analysis of variance Coding analysis of variance, linear combinations of random variables Testing hypotheses assuming normally distributed errors Power and sample size Latin squares Sample Size and Confidence Intervals Latin squares Combining Latin squares Latin squares, Youden squares Split plots Mixed models Split plots in mixed model framework Strip plots, Balanced incomplete block designs Balanced incomplete block designs Interblock information Constructing balanced incomplete block designs, lattice designs Cyclic designs. Evaluating incomplete block designs Repeated treatments designs Statistical analysis of repeated treatments designs 2N factorials Analysis of unreplicated factorials Confounding in the 2N system Confounding in the 3N system Fractional factorials,2N Response surface designs: Central composite design, rotatability Searching for an optimum: conjugate gradient and simplex search methods Searching for an optimum: conjugate gradient and simplex search methods Overflow or Plackett-Burman designs or other topics Course Prerequisites ST 512 Course Corequisites None Recent Textbooks Planning, Construction, and Statistical Analysis of Comparative Experiments, by F. G. Giesbrecht and M. L. Gumpertz. Wiley. (2004)