ROptEst (version 1.0)

getInfV: Generic Function for the Computation of the asymptotic Variance of a Hampel type IC

Description

Generic function for the computation of the optimal clipping bound in case of infinitesimal robust models. This function is rarely called directly. It is used to compute optimally robust ICs.

Usage

getInfV(L2deriv, neighbor, biastype, ...)
"getInfV"(L2deriv,  neighbor, biastype, clip, cent, stand)
"getInfV"(L2deriv,  neighbor, biastype, clip, cent, stand)
"getInfV"(L2deriv,  neighbor, biastype, Distr, V.comp, cent, stand,  w)
"getInfV"(L2deriv, neighbor, biastype, Distr, V.comp, cent, stand, w)
"getInfV"(L2deriv, neighbor, biastype, clip, cent, stand)
"getInfV"(L2deriv,  neighbor, biastype, clip, cent, stand)

Arguments

L2deriv

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

neighbor

object of class "Neighborhood".

biastype

object of class "BiasType"

...

additional parameters.

clip

positive real: clipping bound

cent

optimal centering constant.

stand

standardizing matrix.

Distr

standardizing matrix.

V.comp

matrix: indication which components of the standardizing matrix have to be computed.

w

object of class RobWeight; current weight

Value

References

Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106--115.

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

Ruckdeschel, P. (2005) Optimally One-Sided Bounded Influence Curves. Mathematical Methods in Statistics 14(1), 105-131.

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

See Also

ContIC-class, TotalVarIC-class