dhuber: Huber's least favourable distribution

In smoothmest: Smoothed M-Estimators for 1-Dimensional Location

Huber's least favourable distribution

Description

Density for and random values from Huber's least favourable distribution, see Huber and Ronchetti (2009).

Usage

  dhuber(x, k=0.862, mu=0, sigma=1)
  edhuber(x, k=0.862, mu=0, sigma=1)
  rhuber(n,k=0.862, mu=0, sigma=1)

Arguments

x	numeric vector.
k	numeric. Borderline value of central Gaussian part of the distribution. The default values refers to a 20% contamination neighborhood of the Gaussian distribution.
mu	numeric. distribution mean.
sigma	numeric. Distribution scale (sigma=1 defines the distribution in standard form, with standard Gaussian centre).
n	integer. Number of random values to be generated.

Details

dhuber:

density.

edhuber:

density, and computes the contamination proportion corresponding to k.

rhuber:

random number generation.

Value

dhuber gives out a vector of density values.

edhuber gives out a list with components val (density values) and eps (contamination proportion).

rhuber gives out a vector of random numbers generated by Huber's least favourable distribution.

Author(s)

Christian Hennig [e-mail] http://www.homepages.ucl.ac.uk/~ucakche/

References

Huber, P. J. and Ronchetti, E. (2009) Robust Statistics (2nd ed.). Wiley, New York.

Examples

  set.seed(123456)
  edhuber(1:5,k=1.5)
  rhuber(5)

smoothmest documentation built on April 28, 2022, 1:06 a.m.