JSM Activity #CE2003_12C

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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CE2003_12C Mon, 8/4/03, 8:15 AM - 4:15 PM N-Carmel Room I
Industrial Split-Plot Experiments - Continuing Ed
ASA
Instructor(s): Scott M. Kowalski, Minitab, Inc., Geoff Vining, Virginia Polytechnic Institute and State University
Industrial experiments often involve factors that are both hard-to-change and easy-to-change, which naturally leads to a split-plot structure. Unfortunately, many industrial practitioners are unaware of the implications for the experiment's analysis when the actual experiment is some variation of a split-plot. Too often, practitioners treat the experiment as a completely randomized design, thus ignoring the impact of the restrictions on the randomization. Split-plot experiments commonly occur in agriculture. Many textbooks outline the proper analysis for such experiments. Typically, these experiments involve one categorical whole-plot factor and one categorical subplot factor. Industrial experiments, on the other hand, typically involve several factors in a more complex factorial arrangement. Most textbooks do not outline how to address the factorial structure for the split-plot analysis. In addition, classical agricultural split-plot experiments involve substantial replication. Often, industrial experiments require minimal or even unreplicated experiments. This course teaches industrial practitioners how to analyze industrial split-plot experiments properly. The course will use both Minitab and SAS. The course will begin with a review of classical agricultural split-plot experiments. It then outlines how to analyze a replicated complete factorial split-plot experiment. It then outlines how to construct and to analyze fractional factorial experiments as split-plots. Finally, the course outlines the construction and analysis of second-order response surface designs, such as central composite designs, in a split-plot structure. Fees: M- $325 ($430 after July 18), NM- $415 ($520 after July 18), SM- $200 ($325 after July 18)
 

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003