Information Theory and an Extension of the Maximum Likelihood Principle

被引：1073

作者：

Akaike, Hirotogu ^{[1
]}

机构：

[1] Institute of Statistical Mathematics, Japan

来源：

Trees - Structure and Function | 2015年 / 29卷 / 06期

关键词：

D O I：

10.1007/978-1-4612-0919-5_38

中图分类号：

学科分类号：

摘要：

In this paper it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion. This observation shows an extension of the principle to provide answers to many practical problems of statistical model fitting. © Springer Science+Business Media New York 1992.

引用

页码：655 / 662