Bibliography

Bickel, P. and Rosenblatt, M. (1973).

On some global measures of the deviations of density function estimators, Annals of Statistics 1: 1071-1095.

Cao, R., Cuevas, A. and González-Manteiga, W. ( 1992).

A comparative study of several smoothing methods in density estimation.
manuscript.

Craven, P. and Wahba, G. (1979).

Smoothing noisy data with spline functions, Numerische Mathematik 31: 377-403.

Fan, J. and Gijbels, I. (1996).

Local Polynomial Modelling and Its Applications, Vol. 66 of Monographs on Statistics and Applied Probability, Chapman and Hall, New York.

Härdle, W. (1990).

Applied Nonparametric Regression, Econometric Society Monographs No. 19, Cambridge University Press.

Härdle, W. (1991).

Smoothing Techniques, With Implementations in S, Springer, New York.

Härdle, W. and Scott, D. (1992).

Smoothing in by weighted averaging using rounded points, Computational Statistics 7: 97-128.

Jones, M. C., Marron, J. S. and Sheather, S. J. ( 1992).

Progress in data-based bandwidth selection for kernel density estimation.
manuscript.

Marron, J. (1989).

Comments on a data based bandwidth selector, Computational Statistics & Data Analysis 8: 155-170.

Marron, J. S. and Nolan, D. (1988).

Canonical kernels for density estimation, Statistics & Probability Letters 7(3): 195-199.

Park, B. U. and Turlach, B. A. (1992 ).

Practical performance of several data driven bandwidth selectors, Computational Statistics 7: 251-270.

Scott, D. W. (1992).

Multivariate Density Estimation: Theory, Practice, and Visualization, John Wiley & Sons, New York, Chichester.

Silverman, B. W. (1986).

Density Estimation for Statistics and Data Analysis, Vol. 26 of Monographs on Statistics and Applied Probability, Chapman and Hall, London.

Turlach, B. A. (1993).

Bandwidth selection in kernel density estimation: A review, Discussion Paper 9307, Institut für Statistik und Ökonometrie, Humboldt-Universität zu Berlin.

Wand, M. P. and Jones, M. C. (1995).

Kernel Smoothing, Vol. 60 of Monographs on Statistics and Applied Probability, Chapman and Hall, London.