Best Regression Model Using Information Criteria
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Published
Nov 1, 2002
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Phill Gagné
Department of Measurement Statistics and Evaluation University of Maryland – College Park
C. Mitchell Dayton
Department of Measurement Statistics and Evaluation University of Maryland – College Park
Abstract
The accuracy of AIC and BIC is evaluated under simulated multiple regression conditions, varying number of total and valid predictors, R2, and n. AIC and BIC were increasingly accurate as n increased and as total predictors decreased. Interactions of the ratio of valid/total predictors affected accuracy.
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