A 2-Day Short Course, August 3-4, 2005
Offered by David R. Anderson
General analysis methods based on Kullback-Leibler information will be introduced in this 2-day short course. The material focuses on science hypotheses, models, and model selection methods such as AIC, AICc, and QAICc. After introducing important background material, methods are introduced to allow formal statistical inference to be based on more than a single model (multimodel inference). The material is not deeply mathematical; instead the emphasis is on science concepts and philosophy and several examples are provided.
The short course is based on the recent book, Burnham, K. P., and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. 2nd Ed., Springer-Verlag, New York, NY. 488pp. The short course will be held in Fort Collins, Colorado. Additional details are registration information are provided at http://aicanderson3.home.comcast.net.
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