ROptEst (version 1.0)

getBiasIC: Generic function for the computation of the asymptotic bias for an IC

Description

Generic function for the computation of the asymptotic bias for an IC.

Usage

getBiasIC(IC, neighbor, ...)
"getBiasIC"(IC, neighbor, L2Fam, ...)

Arguments

IC

object of class "InfluenceCurve"

neighbor

object of class "Neighborhood".

L2Fam

object of class "L2ParamFamily".

...

additional parameters

Value

Methods

Details

This function is rarely called directly. It is used by other functions/methods.

References

Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269--278.

Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106--115.

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

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

Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Bias of M-estimators on Neighborhoods.

See Also

getRiskIC-methods, InfRobModel-class