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AIC MODEL SELECTION COURSES Fall 2015


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A NEW COURSE -- ALTERNATIVE HYPOTHESES AND AIC MO DEL SELECTION

Research workers in many of the life sciences are realizing the
substantial limitations of statistical tests, test statistics, arbitrary
alpha levels, P-values, and the dichotomous rulings concerning
"statistical significance." These traditional approaches were developed
at the beginning of the last century and are being replaced by modern
methods that are much more useful. They provide easy-to-compute
quantities such as the probability of each hypothesis/model and measures
of formal evidence. Furthermore, simple methods allow formal inference
(e.g., prediction/forecasting) from all the hypotheses/models in the a
priori set (multimodel inference).

I am planning to offer several 1-day courses on the Information-
Theoretic approaches to statistical inference during the fall months,
2015. These courses focus on the practical application of these new
methods and are based on Kullback-Leibler information and Akaike's
information criterion (AIC). The material follows the recent textbook,

Anderson. D. R.2008. Model based inference in the life sciences: a
primer on evidence. Springer, New York, NY. 184pp.

These courses stress science and science philosophy as much as
statistical methods. The focus is on quantification and qualification
of formal evidence concerning alternative science hypotheses.

These courses are hosted, organized and delivered at your university,
agency, institute or training center. I have given nearly 70 of these
courses and they have been well received. The courses are informal and
discussion and debate are encouraged. Further insights can be found at

www.aic-overview.com/aic-overview.pdf

If you are interested in hosting a course at your location, please
contact me. Thank you.

David R. Anderson
quietanderson - at - yahoo.com

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