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getInfCent

Generic Function for the Computation of the Optimal Centering Constant/Lower Clipping Bound


Description

Generic function for the computation of the optimal centering constant (contamination neighborhoods) respectively, of the optimal lower clipping bound (total variation neighborhood). This function is rarely called directly. It is used to compute optimally robust ICs.

Usage

getInfCent(L2deriv, neighbor, ...)

## S4 method for signature 'UnivariateDistribution,ContNeighborhood'
getInfCent(L2deriv, neighbor, clip, cent, tol.z, symm, trafo)

## S4 method for signature 'UnivariateDistribution,TotalVarNeighborhood'
getInfCent(L2deriv, neighbor, clip, cent, tol.z, symm, trafo)

## S4 method for signature 'RealRandVariable,ContNeighborhood'
getInfCent(L2deriv, neighbor, Distr, z.comp, stand, cent, clip)

Arguments

L2deriv

L2-derivative of some L2-differentiable family of probability measures.

neighbor

object of class "Neighborhood".

...

additional parameters.

Distr

distribution of L2-differentiable family.

clip

optimal clipping bound.

cent

optimal centering constant.

stand

standardizing matrix.

tol.z

the desired accuracy (convergence tolerance).

symm

logical: indicating symmetry of L2deriv.

trafo

matrix: transformation of the parameter.

z.comp

logical vector: indication which components of the centering constant have to be computed.

Value

The optimal centering constant is computed.

Methods

L2deriv = "UnivariateDistribution", neighbor = "ContNeighborhood"

computation of optimal centering constant.

L2deriv = "UnivariateDistribution", neighbor = "TotalVarNeighborhood"

computation of optimal lower clipping bound.

L2deriv = "RealRandVariable", neighbor = "ContNeighborhood"

computation of optimal centering constant.

Author(s)

References

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

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

See Also


ROptEstOld

Optimally Robust Estimation - Old Version

v1.2.0
LGPL-3
Authors
Matthias Kohl [aut, cre, cph]
Initial release
2019-04-02

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