A NOTE ON THE GENERALIZED INFORMATION CRITERION FOR CHOICE OF A MODEL
成果类型：
Article
署名作者：
ATKINSON, AC
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/67.2.413
发表日期：
1980
页码：
413418
关键词：
摘要：
One way of selecting models is to choose that model for which the maximized log likelihood minus a multiple of the number of parameters estimated is a maximum. The choice of values for the multiplier is explored, with the value 1 corresponding to Akaike''s information criterion. The relationship with Bayesian procedures is mentioned.