STAT 514 Design of Experiments
Tu Thur 3-4:15 Potter Engineering Center 262
Instructor: Professor Hao ZhangEmail: zhanghao@purdue.edu
Office Hours: Monday, Friday 1-2, MATH 536 and by appointment.
Description:Introduce you to the principles of experimental design and appropriate analysis for experimental design data. By the end of the course, you will be able to design experiments in your field of study, analyze data from designed experiments using computer programs and draw meaningful conclusions. Tentative coverage of designs includes completely randomized designs, complete block designs, incomplete block designs, row-column (Latin square and Youden) designs, nested designs, split-plot designs, repeated measures design, confounded factorial designs and crossover designs. For each design, appropriate statistical models, estimates and sample size issues will be discussed, and SAS programs illustrated.
Textbook:
- Design and Analysis of Experiments, Angela Dean and Daniel Voss, Springer 1999.
- Access data and programs here