Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference32 articles.
1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. Akademia Kiado, Budapest. 2nd International Symposium on Information Theory, Petrov B. N. and Csaki F. (eds.), p. 267–281.
2. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716–723.
3. Bengtsson, T. and Cavanaugh, J. E. (2006). An improved Akaike information criterion for state-space model selection. Computational Statistics and Data Analysis 50, 2635–2654.
4. Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H. and White, J. S. S. (2009). Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution 24, 127–135.
5. Bozdogan, H. (1987). Model selection and Akaike’s information criterion (AIC): The general theory and its analytical extensions. Psychometrika 52, 345–370.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献