RobAStBase (version 1.2.6)

BdStWeight-class: Robust Weight classes for bounded, standardized weights

Description

Classes for bounded, robust, standardized weights.

Objects from the Class

Objects can be created by calls of the form new("BdStWeight", ...); to fill slot weight, you will use the generating functions getweight and minbiasweight.

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); inherited from class BoundedWeight.

stand

Object of class "matrix" --- standardization.

Extends

Class "RobWeight", via class "BoundedWeight". Class "BoundedWeight", directly.

Methods

stand

signature(object = "BdStWeight"): accessor function for slot stand.

stand<-

signature(object = "BdStWeight", value = "matrix"): replacement function for slot stand. 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

Peter Ruckdeschel

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

BoundedWeight-class, RobWeight-class, IC, InfluenceCurve-class

Examples

## prototype
new("BdStWeight")