1. Shao, J. et al. (1989). A general theory for jackknife variance estimation. Ann. Statist. 17 1176–1197.
2. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984). Classification and Regression Trees. Wadsworth Statistics/Probability Series. Wadsworth Advanced Books and Software, Belmont, CA.
3. Breiman, L. (2001). Random forests. Mach. Learn. 45 5–32.
4. Little, R. J. A. and Rubin, D. B. (1987). Statistical Analysis with Missing Data. Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics. Wiley, New York.
5. GNEITING, T. (2011). Making and Evaluating Point Forecasts. J. Amer. Statist. Assoc. 106 746–762.