The probability to select the correct model using likelihood-ratio based criteria in choosing between two nested models of which the more extended one is true

Journal of Statistical Planning and Inference

Volumn 135, Issue 2, 2005, Pages 477-486

  van der Hoeven, Nelly ^a,b  

^a LEIDEN UNIVERSITY   (Netherlands)

^b ECOSTAT   (Netherlands)

Author keywords

AIC; BIC; Kullback Leibler divergence; Noncentral Chi square; Power

Indexed keywords

EID: 24144474282     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspi.2004.04.025     Document Type: Article

References (9)

1. H. Akaike A new look at the statistical model identification IEEE Trans. Automat. Control 19 1974 716-723
2. K.P. Burnham D.R. Anderson Model Selection and Inference. A Practical Information-Theoretic Approach 1998 Springer New York, USA
3. D.R. Cox D.V. Hinkley Theoretical Statistics 1974 Chapman & Hall London
4. J. Huisman H. Olff L.F.M. Fresco A hierarchical set of models for species response analysis J. Veg. Sci. 4 1993 37-46
5. C.M. Hurvich C-L. Tsai Regression and time series model selection in small samples Biometrika 76 1989 297-307
6. S. Kullback R.A. Leibler On information and sufficiency Ann. Math. Statist. 22 1951 79-86
7. H. Linhart W. Zucchini Model Selection 1986 Wiley New York
8. G. Schwarz Estimating the dimension of a model Ann. Statist. 6 1978 461-464
9. Van der Hoeven, N., Hemerik, L., Jansen, P.A., 2004. Balancing statistics and ecology: Lumping experimental data for model selection. In: Reydon, T.A.C., Hemerik, L. (Eds.). Current Themes in Dutch Theoretical Biology. Springer, Dordrecht, The Netherlands, pp. 233-265.