1. Akaike, H., 1973, Information theory and an extension of the maximum likelihood principle. 2nd Int. Symp. Inf. Theory (B.N. Petrov and F. Czaki, eds.), pp. 267–281. Budapest: Akad. Kiadó.
2. Atkinson, A.C., 1978, Posterior probabilities for choosing a regression model. Biometrika, 65, 39–48.
3. Beckman, R.J. and Cook, R.D., 1983, Outlier s. Technometrics, 25,119–149.
4. Daniel, C. and Wood, F.S., 1980, Fitting Equations to Data, 2nd ed. New York: Wiley.
5. Draper, N.R. and Guttman, I., 1986, Model Selection Problems. Technical Report, Department of Statistics, University of Toronto.