BoundedWeight-class: Robust Weight classes for bounded weights

In RobAStBase: Robust Asymptotic Statistics

Robust Weight classes for bounded weights

Description

Classes for bounded, robust weights.

Objects from the Class

Objects can be created by calls of the form new("BoundedWeight", ...).

Slots

name

Object of class "character"; inherited from class RobWeight.

weight

Object of class "function" — the weight function; inherited from class RobWeight.

clip

Object of class "numeric" — clipping bound(s).

Extends

Class "RobWeight", directly.

Methods

clip

signature(x1 = "BoundedWeight"): accessor function for slot clip.

clip<-

signature(object = "BoundedWeight", value = "numeric"): replacement function for slot clip. This replacement method should be used with great care, as the slot weight is not simultaneously updated and hence, this may lead to inconsistent objects.

Author(s)

Peter Ruckdeschel [e-mail]

References

Hampel et al. (1986) Robust Statistics. The Approach Based on Influence Functions. New York: Wiley.

Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.

Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.

See Also

RobWeight-class, IC, InfluenceCurve-class

Examples

## prototype
new("BoundedWeight")

RobAStBase documentation built on Jan. 12, 2025, 3:02 a.m.