1. Akaike, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle,” in Second International Symposium on Information Theory, eds. B. N. Petrov and F. Csaki, Budapest: Akademia Kiado, pp. 267–281.
2. Buja, A., Hastie, T., and Tibshirani, R. (1989), “Linear Smoothers and Additive Models” (with discussion), The Annals of Statistics, 17, 453–555.
3. Butler, D. G., Gilmour, A. R., and Cullis, B. R. (1999), “SAMM: An S-PLUS Module for Mixed Models using REML,” in International S-PLUS User Conference, New Orleans, USA.
4. Cleveland, W. S. (1979), “Robust Locally-Weighted Regression and Smoothing Scatterplots,” Journal of the American Statistical Association, 74, 829–836.
5. — (1993), Visualizing Data New Jersey: Hobart Press.