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Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
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  Métodos Non Paramétricos
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Bibliografía básica
  • Fan J., Gijbels I. (1996) Local polynomial modelling and its applications. Monographs on Statistics and Applied Probability 66. Chapman & Hall/CRC.
  • Gibbons J.D, Chakraborti S. (2010) Nonparametric Statistical Inference (5th edition). Statistics: Textbooks and Monographs. Chapman & Hall/CRC.
  • Hollander M., Wolfe D.A., Chicken E. (2014) Nonparametric Statistical Methods (3rd edition). Wiley Series in Probability and Statistics, Wiley.
  • Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis. Monographs on Statisticsand Applied Probability 26. Chapman & Hall/CRC. 
  • Wand M.P., Jones M.C. (1995) Kernel smoothing. Monographs on Statistics and Applied Probability 60. Chapman & Hall/CRC.

Bibliografía complementaria
  • Bowman A.W., Azzalini A. (1997) Applied Smoothing Techniques for Data Analysis. Oxford: Oxford University Press.
  • McKean J.W., Kloke J. (2014) Nonparametric Statistical Methods using R. The R Series. Chapman and Hall/CRC.
  • Simonoff J.S. (1996) Smoothing methods in statistics. Springer Series in Statistics. New York: Springer.
  • Smeeton N.C, Sprent P. (2007) Applied Nonparametric Statistical Methods (4th edition) Chapman & Hall/CRC Texts in Statistical Science. Chapman & Hall/CRC.
  • Wasserman L. (2006) All of Nonparametric Statistics. Springer Texts in Statistics. New York: Springer.
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