Stat 466 Experimental Design: Theory and Methods
A theoretical and applied treatment of experimental design; analysis of variance, fixed effect models, random effects models, checking model adequacy; block designs, Latin squares, related designs; incomplete designs; factorial designs, confounding two-level designs, split-plot designs; fractional factorial designs; nested designs; relation to regression analysis; analysis of covariance. All sections will illustrate real world applications with computer usage. This is the second course in a sequence of two: Stat 465 and Stat 466. Also offered for graduate-level credit as Stat 566 and may be taken only once for credit.