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3841190 
Book/Book Chapter 
Information theory and an extension of the maximum likelihood principle 
Akaike, H 
1998 
Springer 
New York, NY 
Selected papers of Hirotugu Akaike 
199-213 
English 
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. 
Parzen, E; Tanabe, K; Kitagawa, G 
Springer Series in Statistics 
9781461272489