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RobAStBase (version 0.7.1)

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, ...)

## S3 method for class 'IC,UncondNeighborhood':
getBiasIC(IC, neighbor, L2Fam, biastype = symmetricBias(),
             normtype = NormType(), tol = .Machine$double.eps^0.25, numbeval = 1e5)

Arguments

Value

The bias of the IC is computed.

concept

influence curve

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