References

Bowman, A. W. and Foster, P. J. (1993), Density Based Exploration of Bivariate Data, Statistics and Computing , 3, 171 “177.

Fan, J. and Marron, J. S. (1994), Fast Implementations of Nonparametric Curve Estimators, Journal of Computational and Graphical Statistics , 3, 35 “56.

Jones, M. C., Marron, J. S., and Sheather, S. J. (1996), A Brief Survey of Bandwidth Selection for Density Estimation, Journal of the American Statistical Association , 91, 401 “407.

Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T. (1988), Numerical Recipes: The Art of Scientific Computing , Cambridge: Cambridge University Press.

Rodriguez, R. N. and Taniguchi, B. Y. (1980), A New Statistical Model for Predicting Customer Octane Satisfaction Using Trained-Rater Observations, Transactions of the Society of Automotive Engineers , 4213 “4235.

Scott, D. W. (1992), Multivariate Density Estimation: Theory, Practice, and Visualization , New York: John Wiley & Sons, Inc.

Silverman, B. W. (1986), Density Estimation , New York: Chapman and Hall.

Terrell, G. R. and Scott, D. W. (1985), Oversmoothed Nonparametric Density Estimates, Journal of the American Statistical Association , 80, 209 “214.

Wand, M. P. (1994), Fast Computation of Multivariate Kernel Estimators, Journal of Computational and Graphical Statistics , 3, 433 “445.

Wand, M. P. and Jones, M. C. (1993), Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation, Journal of the American Statistical Association , 88, 520 “528.