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Bibliografía básica
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Peña, D. (2002). Regresión y diseño de experimentos. Alianza Editorial
Vilar Fernández, J.M. (2006). Modelos estadísticos aplicados. Universidade da Coruña, Servizo de Publicacións
Faraway, J.J. (2015). Linear models with R . Chapman and Hall
Faraway, J.J. (2006). Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Chapman and Hall
Montgomery, D.C., Peck, E.A. y Vining, G.G. (2012). Introduction to linear regression analysis . Wiley
Ritz, C. y Streibig, J.C. (2008). Nonlinear regression with R. Springer
Wand M.P. y Jones M.C. (1995). Kernel Smoothing. Chapman and Hall/CRC
Hosmer, D.W., Lemeshow, S. y Sturdivant, R.X. (2013). Applied logistic regression . John Wiley & Sons
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Bibliografía complementaria
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Bowman A.W. y Azzalini A. (1997). Applied Smoothing Techniques for Data Analysis. Oxford University Press
Fox, J. y Weisberg, S. (2011). An R companion to applied regression. SAGE Publications
Agresti, A. (1996). An introduction to categorical data analysis. Wiley
Fan J. y Gijbels I. (1996). Local polynomial modelling and its applications. Chapman and Hall/CRC
Sheather, S.J. (2009). A modern approach to regression with R. Springer
Venables, W.N. y Ripley, B.D. (2010). Modern applied statistics with S . Springer
Wood, S.N. (2006). Generalized Additive Models: An introduction with R. Chapman and Hall/CRC
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