Information Theory and an Extension of the Maximum Likelihood Principle-Reference-Cited by-同舟云学术

Information Theory and an Extension of the Maximum Likelihood Principle

Published:1992 Issue: Volume: Page:610-624
ISSN:0172-7397
Container-title:Springer Series in Statistics
language:
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Author:

Akaike Hirotogu

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-0919-5_38.pdf

Reference28 articles.

1. Akaike, H., Fitting autoregressive models for prediction. Ann. Inst. Statist. Math. 21 (1969) 243–217.

2. Akaike., H., Statistical predictor identification. Ann. Inst. Statist. Math. 22 (1970) 203–217.

3. Akaike, H., On a semi-automatic power spectrum estimation procedure. Proc. 3rd Hawaii International Conference on System Sciences, 1970, 974–977.

4. Akaike, H., On a decision procedure for system identification, Preprints, IF AC Kyoto Symposium on System Engineering Approach to Computer Control. 1970, 486–490.

5. Akaike, H., Autoregressive model fitting for control. Ann. Inst. Statist. Math. 23 (1971) 163–180.

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