Efficiency of the finite correction of Akaike's Information Criteria

Fisheries Science

Volumn 66, Issue 3, 2000, Pages 608-610

  Shono, Hiroshi ^a  

^a Fisheries Research and Education Agency   (Japan)

Author keywords

AIC; BIC; c AIC; CPUE standardization; Finite correction; Growth curve; Model selection

Indexed keywords

EID: 0141848060     PISSN: 09199268     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1444-2906.2000.00095.x     Document Type: Article

References (4)

1. Akaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds). Second International Symposium on Information Theory. Akademia Kiado, Budapest. 1973; 267-281.
2. Sakamoto Y, Ishiguro M, Kitagawa G. Information Statistics. Kyouritsu, Tokyo. 1983 (in Japanese).
3. Sugiura N. Further analysis of the data by Akaike's information criterion and the finite correction. Comm. Statist. A-Theory. Meth. 1978; 7: 13-26.
4. Hurvich CM, Tsai CL. Regression and time series model selection in small samples. Biometrika 1989; 76: 297-307.