Description Usage Arguments Value Methods Author(s) References See Also
Generic function for the computation of the standardizing matrix which takes care of the Fisher consistency of the corresponding IC. This function is rarely called directly. It is used to compute optimally robust ICs.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  getInfStand(L2deriv, neighbor, biastype, ...)
## S4 method for signature 'UnivariateDistribution,ContNeighborhood,BiasType'
getInfStand(L2deriv,
neighbor, biastype, clip, cent, trafo)
## S4 method for signature
## 'UnivariateDistribution,TotalVarNeighborhood,BiasType'
getInfStand(L2deriv,
neighbor, biastype, clip, cent, trafo)
## S4 method for signature 'RealRandVariable,UncondNeighborhood,BiasType'
getInfStand(L2deriv,
neighbor, biastype, Distr, A.comp, cent, trafo, w, ...)
## S4 method for signature
## 'UnivariateDistribution,ContNeighborhood,onesidedBias'
getInfStand(L2deriv,
neighbor, biastype, clip, cent, trafo, ...)
## S4 method for signature
## 'UnivariateDistribution,ContNeighborhood,asymmetricBias'
getInfStand(L2deriv,
neighbor, biastype, clip, cent, trafo)

L2deriv 
L2derivative of some L2differentiable family of probability measures. 
neighbor 
object of class 
biastype 
object of class 
... 
additional parameters, in particular for expectation 
clip 
optimal clipping bound. 
cent 
optimal centering constant. 
Distr 
object of class 
trafo 
matrix: transformation of the parameter. 
A.comp 
matrix: indication which components of the standardizing matrix have to be computed. 
w 
object of class 
The standardizing matrix is computed.
computes standardizing matrix for symmetric bias.
computes standardizing matrix for symmetric bias.
computes standardizing matrix for symmetric bias.
computes standardizing matrix for onesided bias.
computes standardizing matrix for asymmetric bias.
Matthias Kohl [email protected], Peter Ruckdeschel [email protected]
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Ruckdeschel, P. (2005) Optimally OneSided Bounded Influence Curves. Mathematical Methods in Statistics 14(1), 105131.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
ContICclass
, TotalVarICclass
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