Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10525871 | Statistical Methodology | 2005 | 9 Pages |
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
Authors
Peter G. Bryant,