bw.abram: Abramson's Adaptive Bandwidths

In spatstat.univar: One-Dimensional Probability Distribution Support for the 'spatstat' Family

Abramson's Adaptive Bandwidths

Description

Computes adaptive smoothing bandwidths according to the inverse-square-root rule of Abramson (1982).

Usage

bw.abram(X, h0, ...)

Arguments

X	Data to be smoothed.
h0	Global smoothing bandwidth. A numeric value.
...	Additional arguments passed to methods.

Details

This function computes adaptive smoothing bandwidths for a dataset, using the methods of Abramson (1982) and Hall and Marron (1988).

The function bw.abram is generic. There is a default method bw.abram.default. The spatstat package family includes methods for spatial objects.

Value

See the documentation for the particular method.

Author(s)

\adrian

.

References

Abramson, I. (1982) On bandwidth variation in kernel estimates — a square root law. Annals of Statistics, 10(4), 1217-1223.

Hall, P. and Marron, J.S. (1988) Variable window width kernel density estimates of probability densities. Probability Theory and Related Fields, 80, 37-49.

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

See Also

bw.abram.default

spatstat.univar documentation built on June 8, 2025, 12:52 p.m.