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.
MD*TECH
Method and Data Technologies
http://www.mdtech.de
mdtech@mdtech.de