Information Criteria and Statistical Modeling

Information Criteria and Statistical Modeling by Sadanori Konishi, Genshiro Kitagawa.

Winner of the 2009 Japan Statistical Association Publication Prize. The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been repor...

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Bibliographic Details
Main Authors: Konishi, Sadanori (Author), Kitagawa, Genshiro (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Springer Series in Statistics,
Springer eBook Collection.
Subjects:
Statistics .
Mathematical models.
Coding theory.
Information theory.
Data mining.
Mathematical statistics.
Computer simulation.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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