sm (version 2.2-5.4)

hsj: Sheather-Jones choice of smoothing parameter for density estimation

Description

This function uses the Sheather-Jones plug-in method of selecting a smoothing parameter which is suitable for constructing a density estimate in the one-dimensional case.

Usage

hsj(x)

Arguments

x
a vector of data.

Value

the value of the smoothing parameter located by the Sheather-Jones method.

Details

See Section 2.4.4 of the reference below.

References

Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.

See Also

h.select, hnorm, hcv

Examples

Run this code
x <- rnorm(50)
hsj(x)

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