Article ID Journal Published Year Pages File Type
10525871 Statistical Methodology 2005 9 Pages PDF
Abstract
This article extends the Minimum Description Length (MDL) penalty function B2(n) suggested by P.G. Bryant and O.I. Cordero-BraƱa [Model selection using the minimum description length principle, The American Statistician 54 (2000) 257-268] to cover an arbitrary range of possible parameter values, and provides approximations for large sample sizes. The results are illustrated using data from a recent clinical trial (The Women's Health Initiative).
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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