The KDE Procedure

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.

  • Silverman, B. W. (1986). Density Estimation for Statistics and Data Analysis. New York: Chapman & 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.