Department of Statistical Science
Duke University

presents:

William Cleveland

AT&T Bell Labs

Abstract:

Multipanel conditioning, a feature of Trellis display, is a visualization tool for studying the dependence of a response on two or more explanatory variables. For data from designed experiments, multipanel conditioning can be used to display the raw data, partial fits, partial residuals, fits, and residuals. This is particularly effective for ferreting out interactions, two-factor and higher order, and goes well beyond the standard, but limited, interaction plots used to show the two-factor interactions of a fitted model. Multipanel conditioning helps the data analyst to build parsimonious models for experimental data in place of standard models associated with the analysis of variance which often employ more parameters than necessary, losing both sensitivity to detecting effects and simplicity.

Monday, March 18, 1996

11:45 am - 12:45 pm

130 Sociology/Psychology Building

Any questions concerning the seminar may be addressed to Cheryl McGhee @[919] 684-8029, e-mail cheryl@stat.duke.edu, or finger seminar@stat.duke.edu

NOTE: Dr. Cleveland will also be speaking at the Statistics Dept. @ UNC on March 18th at 3:30 pm in Phillips Hall --- please contact nobel@stat.unc.edu for more information.