Select one of the options below:
Analysis of variance, covariance, randomized block, latin square, split-plot, factorial, balanced, and unbalanced designs; applications to agriculture and biosciences; and implementation in SAS and R.
Students may contact Kirsten Eilertson (Kirsten.Eilertson@colostate.edu) for information about this course.
STAA 551 (Regression Models and Applications) or STAT 540 (Data Analysis and Regression); STAA 562 (Mathematical Statistics with Applications) or STAT 530 (Mathematical Statistics); Graduate standing. Written consent of instructor.
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.
9704915077 | hess@stat.colostate.edu
Dr. Hess earned her Ph.D. in Statistics from CSU in 2005. Her areas of interest include bioinformatics, experimental design, linear models and statistical consulting.