Bandwidth Selection by Pilot Estimation of Derivatives

Usage

width.SJ(x, nb=1000, lower, upper, method=c("ste", "dpi"))

Arguments

x a numeric vector
nb number of bins to use.
lower, upper range over which to search for solution if method = "ste".
method Either "ste" ("solve-the-equation") or "dpi" ("direct plug-in").

Description

Uses the method of Sheather & Jones (1991) to select the bandwidth of a Gaussian kernel density estimator.

Value

a bandwidth.

References

Sheather, S. J. and Jones, M. C. (1991) A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society series B 53, 683-690.

Scott, D. W. (1992) Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley.

Wand, M. P. and Jones, M. C. (1995) Kernel Smoothing. Chapman & Hall.

See Also

ucv, bcv, density

Examples

data(galaxies)
width.SJ(galaxies, method="dpi")
width.SJ(galaxies)


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