Skip to Content

College of Arts & Sciences
Department of Statistics


STAT 706

706—Experimental Design. (3) (Prereq: STAT 701 or STAT 705) Specialized experimental designs: 2n and 3nfactorials; fractional replication; confounding; incomplete block designs including split-plot, split-block, Latin square designs; general principles of design.

Sample Course Homepage: Recent Semester

Usually Offered: Fall Semester

Purpose: To introduce graduate students in diverse fields of study to the philosophy of controlled experimentation, including both the classical and Taguchi approach to parameter design. To develop an understanding of the analysis and implementation of special classes of traditional designs. To provide the opportunity to use and understand current design of experiments software. To discuss options available when practical considerations warrant the use of non-traditional designs.

Current Textbook: Practical Data Analysis for Designed Experiments, by Brian S. Yandell, Chapman and Hall, 1997.

 

Topics Covered
Chapters
Time        
CRD, Orthogonal Polynomials for Designs with Quantitative Variables ; Power
1-3,5
2 weeks
General Multifactor Designs
7,8
1 week
Dealing with unbalanced data
10,11
1 week
Random Effects Models, Mixed Effects Models
19-21
2 weeks
Nested Designs, RCBD, Latin Squares, Balanced Incomplete Block Designs
22, 27
2.5 weeks
Special Multifactor Designs; Split-plot, repeated measures and nested designs
23-25
2 weeks

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: John Grego