Generic function for the computation of the optimal clipping bound.
This function is rarely called directly. It is called by getInfClip
to compute optimally robust ICs.
getInfGamma(L2deriv, risk, neighbor, ...)# S4 method for UnivariateDistribution,asMSE,ContNeighborhood
getInfGamma(L2deriv, risk, neighbor, cent, clip)
# S4 method for UnivariateDistribution,asGRisk,TotalVarNeighborhood
getInfGamma(L2deriv, risk, neighbor, cent, clip)
# S4 method for RealRandVariable,asMSE,ContNeighborhood
getInfGamma(L2deriv, risk, neighbor, Distr, stand, cent, clip)
# S4 method for UnivariateDistribution,asUnOvShoot,ContNeighborhood
getInfGamma(L2deriv, risk, neighbor, cent, clip)
L2-derivative of some L2-differentiable family of probability measures.
object of class "RiskType"
.
object of class "Neighborhood"
.
additional parameters
optimal centering constant.
optimal clipping bound.
standardizing matrix.
object of class "Distribution"
.
used by getInfClip
.
used by getInfClip
.
used by getInfClip
.
used by getInfClip
.
The function is used in case of asymptotic G-risks; confer Ruckdeschel and Rieder (2004).
Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106--115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for General Loss Functions. Statistics & Decisions (submitted).
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
asGRisk-class
, asMSE-class
,
asUnOvShoot-class
, ContIC-class
,
TotalVarIC-class