getweight-methods: Generating weights

Description

Generates weight functions of Hampel / BdSt type for different bias and norm types.

Usage

getweight(Weight, neighbor, biastype, ...)
minbiasweight(Weight, neighbor, biastype, ...)
# S4 method for HampelWeight,ContNeighborhood,BiasType
getweight(Weight, neighbor, biastype, normW)
# S4 method for HampelWeight,ContNeighborhood,BiasType
minbiasweight(Weight, neighbor, biastype, normW)
# S4 method for HampelWeight,ContNeighborhood,onesidedBias
getweight(Weight, neighbor, biastype, ...)
# S4 method for HampelWeight,ContNeighborhood,onesidedBias
minbiasweight(Weight, neighbor, biastype, ...)
# S4 method for HampelWeight,ContNeighborhood,asymmetricBias
getweight(Weight, neighbor, biastype, ...)
# S4 method for HampelWeight,ContNeighborhood,asymmetricBias
minbiasweight(Weight, neighbor, biastype, ...)
# S4 method for BdStWeight,TotalVarNeighborhood,BiasType
getweight(Weight, neighbor, biastype, ...)
# S4 method for BdStWeight,TotalVarNeighborhood,BiasType
minbiasweight(Weight, neighbor, biastype, ...)

Value

Object of class "HampelWeight" resp. "BdStWeight"

Arguments

Weight: Object of class "RobWeight".
neighbor: Object of class "Neighborhood".
biastype: Object of class "BiasType".
normW: Object of class "NormType" --- only for signature HampelWeight,ContNeighborhood,BiasType.
...: possibly additional (unused) arguments --- like in a call to the less specific methods.

Methods

getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "BiasType") with additional argument biastype of class "BiasType": produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "BiasType") with additional argument biastype of class "BiasType": produces weight slot...
getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "onesidedBias"): produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "onesidedBias"): produces weight slot...
getweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "asymmetricBias"): produces weight slot...
minbiasweight: signature(Weight = "HampelWeight", neighbor = "ContNeighborhood", biastype = "asymmetricBias"): produces weight slot...
getweight: signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood", biastype = "BiasType"): produces weight slot...
minbiasweight: signature(Weight = "BdStWeight", neighbor = "TotalVarNeighborhood", biastype = "BiasType"): produces weight slot...

Author

Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de

Details

These functions generate the weight function in slot weight in a corresp. object of class RobWeight and descendants.

References

Hampel et al. (1986) Robust Statistics. The Approach Based on Influence Functions. New York: Wiley.

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

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