I. S. Abramson.
On bandwidth variation in kernel estimates - a square root law.
The annals of statistics, 10: 1217-1223, 1982.

V. A. Epanechnikov.
Nonparametric estimation of a multidimensional probability density.
Theoretical probability, applications, 14: 153-158, 1969.

M. C. Jones, J. S. Marron, and S. J. Sheather.
A brief survey of bandwidth selection for density estimation.
Journal of the American Statistical Association, 91: 401-407, Feb 1994.

MC Jones, JS Marron, and SJ Sheather.
Progress in data-based bandwidth selection for kernel density estimation.
Chapel Hill, N.C. : Dept. of Statistics, 1992.

K. T. McDonald.
Volume and surface area of an n-sphere, 2003.
Internet note from the Joseph Henry Laboratories, Princeton University.

B. U. Park, J. S. Marron, and W. C. Kim.
Asymptotically best bandwidth selectors in kernel density estimation.
Statistics and probability letters, 19: 119-127, 1994.

D. W. Scott.
Multivariate density estimation, Theory, practice and visualisation.
Number 0-471-54770-0 in Wiley series in probability and mathematical statistics. Wiley, New York, 1992.

D. W. Scott.
Averaged shifted histograms: Effective ninparametric density estimation.
The annals of statistics, 13: 1024-1040, 1985.

D. W. Scott.
Nonparametric probability density estimation for data analusis in several dimensions.
In Proceedings of the twenty-eigth conference on the design of experiments in army research, development and testing, pages 387-397, 1983.

D. W. Scott and G. R. Terrell.
Biased and unbiased cross-validation in density estimation.
Journal of the American Statistical Association, 82 (400): 1131-1146, 1987.

B. W. Silverman.
Density estimation.
Chapman and Hall, London, 1986.

J. W. Tukey.
Exploratory data analysis.
Addison-Wesley, London, 1977.

M. P. Wand and M. C. Jones.
Kernel smoothing.
Chapman and Hall, London, 1995.

S. Weisberg.
Applied linear regression.
Wiley, Sanford, 1980.

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