Generic function for the computation of the asymptotic bias for an IC.
getBiasIC(IC, neighbor, ...)# S4 method for HampIC,UncondNeighborhood
getBiasIC(IC, neighbor, L2Fam, ...)
The bias of the IC is computed.
object of class "InfluenceCurve"
object of class "Neighborhood"
.
object of class "L2ParamFamily"
.
additional parameters
reads off the as. bias from the risks-slot of the IC.
reads off the as. bias from the risks-slot of the IC,
resp. if this is NULL
from the corresponding
Lagrange Multipliers.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
This function is rarely called directly. It is used by other functions/methods.
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.
getRiskIC-methods
, InfRobModel-class