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Cited by 17,781

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Information Theory and an Extension of the Maximum Likelihood Principle

Akaike, Hirotogu·1998·Springer Series in Statistics
DOI 10.1007/978-1-4612-1694-0_15
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Research works printed but not linked: 27

  1. Akaike, H., Fitting autoregressive models for prediction. Ann. Inst. Statist. Math. 21 (1969) 243–217. · DOI
  2. Akaike., H., Statistical predictor identification. Ann. Inst. Statist. Math. 22 (1970) 203–217. · DOI · Paper page
  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, IFAC 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. · DOI
  6. Akaike, H., Determination of the number of factors by an extended maximum likelihood principle. Research Memo. 44, Inst. Statist. Math. March, 1971.
  7. Bartlett, M. S., The statistical approach to the analysis of time-series. Symposium on Information Theory (mimeographed Proceedings), Ministry of Supply, London, 1950, 81–101.
  8. Billingsley, P., Statistical Inference for Markov Processes. Univ. Chicago Press, Chicago 1961.
  9. Blackwell, D., Equivalent comparisons of experiments. Ann. Math. Statist. 24 (1953) 265–272. · DOI
  10. Campbell, L.L., Equivalence of Gauss’s principle and minimum discrimination information estimation of probabilities. Ann. Math. Statist. 41 (1970) 10111015. · DOI
  11. Fisher, R.A., Theory of statistical estimation. Proc. Camb. Phil. Soc. 22 (1925) 700–725, Contributions to Mathematical Statistics John Wiley & Sons, New York, 1950, paper 11. · DOI
  12. Good, I.J. Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables. Ann. Math. Statist. 34 (1963) 911–934. · DOI
  13. Gorman, J.W. and Toman, R.J., Selection of variables for fitting equations to data. Technometrics 8 (1966) 27–51. · DOI
  14. Jenkins, G.M. and Watts, D.G., Spectral Analysis and Its Applications. Holden Day, San Francisco, 1968.
  15. Kullback, S. and Leibler, R.A., On information and sufficiency. Ann. Math Statist. 22 (1951) 79–86. · DOI · Paper page
  16. Kullback, S., Information Theory and Statistics. John Wiley & Sons, New York 1959.
  17. Le Cam, L., On some asymptotic properties of maximum likelihood estimates and related Bayes estimates. Univ. Calif. Publ. in Stat. 1 (1953) 277–330.
  18. Lehmann, E.L., Testing Statistical Hypotheses. John Wiley & Sons, New York 1969.
  19. Otomo, T., Nakagawa, T. and Akaike, H. Statistical approach to computer control of cement rotary kilns. 1971. Automatica 8 (1972) 35–48. · DOI
  20. Rényi, A., Statistics and information theory. Studia Sci. Math. Hung. 2 (1967) 249–256.
  21. Savage, L.J., The Foundations of Statistics. John Wiley & Sons, New York 1954.
  22. Wald, A., Tests of statistical hypotheses concerning several parameters when the number of observations is large. Trans. Am. Math. Soc. 54 (1943) 426–482. · DOI
  23. Wald, A., Note on the consistency of the maximum likelihood estimate. Ann Math. Statist. 20 (1949) 595–601. · DOI
  24. Wald, A., Statistical Decision Functions. John Wiley & Sons, New York 1950.
  25. Whittle, P., The statistical analysis of seiche record. J. Marine Res. 13 (1954) 76–100.
  26. Whittle, P., Prediction and Regulation. English Univ. Press, London 1963.
  27. Wiener, N., Cybernetics. John Wiley & Sons, New York, 1948.

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Metadata

Authors
Akaike, H.
Venue
Springer Series in Statistics
Publisher
Springer New York
Published
1998
Pages
199-213
ISSN
0172-7397 (ISSN-L)
DOI
10.1007/978-1-4612-1694-0_15
OpenAlex
W2058815839
Cited by
17,781
References
1
FWCI
561.65
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Information Theory and an Extension of the Maximum Likelihood Principle. https://app.cochat.ai/papers/10.1007/978-1-4612-1694-0_15
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Akaike, H. (1998). Information Theory and an Extension of the Maximum Likelihood Principle. Springer Series in Statistics. https://doi.org/10.1007/978-1-4612-1694-0_15

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.