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.
|CRD, Orthogonal Polynomials for Designs with Quantitative Variables ; Power||
|General Multifactor Designs||
|Dealing with unbalanced data||
|Random Effects Models, Mixed Effects Models||
|Nested Designs, RCBD, Latin Squares, Balanced Incomplete Block Designs||
|Special Multifactor Designs; Split-plot, repeated measures and nested designs||
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