Libros

Literatura seleccionada:

* Hairston, N.G. (1989). Ecological Experiments: Purpose, Design and Execution. Cambridge Studies in Ecology, Cambridge Univ. Press, Cambridge.

* Underwood, A.J. (1997). Experiments in ecology: their logical design and interpretation using analysis of variance. Cambridge Univ. Press, Cambridge.
* Scheiner, S.M.; Gurevitch, J. (2001). Design and analysis of ecological experiments. Chapman & Hall, New York.
* Quinn, G.P.; Keough, M.J. (2002). Experimental design and data analysis for biologists. Cambridge Univ. Press, Cambridge.
* Keppel, G. (1991). Design and analysis: a researcher’s handbook. Prentice Hall, New Jersey. Nueva versión.
* Breiman, L. (1984). Classification and Regression Trees. Chapman & Hall
* Crawley, M.J. (1998). GLIM for Ecologists. Blackwell Science.
* Hastie, T.J.; Tibshirani, R.J. (1997). Generalized Additive Models. Chapman & may.
* Maxwell, S.E.; Delaney, H.D. (1990). Designing Experiments and Analyzing Data. A model comparison perspective. Wadsworth Publishing Company, Belmont, CA. Nueva versión.
* Burnham, K.P.; Anderson, D. (2003). Model Selection and Multi-Model Inference. Springer.
* Valencia, J.L.; Díaz-Llanos, F.J. (2004). Métodos de Predicción en Situaciones Límite. Ed. La Muralla, Madrid.

* Davison, A.C.; Hinkley, D.V. (2007). Bootstrap methods and their application. Cambridge Univ. Press. [link]