RobAStBase (version 0.7.1)

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, ...)
## S3 method for class 'HampelWeight,ContNeighborhood,BiasType':
getweight(Weight, neighbor, biastype, normW)
## S3 method for class 'HampelWeight,ContNeighborhood,BiasType':
minbiasweight(Weight, neighbor, biastype, normW)
## S3 method for class 'HampelWeight,ContNeighborhood,onesidedBias':
getweight(Weight, neighbor, biastype, ...)
## S3 method for class 'HampelWeight,ContNeighborhood,onesidedBias':
minbiasweight(Weight, neighbor, biastype, ...)
## S3 method for class 'HampelWeight,ContNeighborhood,asymmetricBias':
getweight(Weight, neighbor, biastype, ...)
## S3 method for class 'HampelWeight,ContNeighborhood,asymmetricBias':
minbiasweight(Weight, neighbor, biastype, ...)
## S3 method for class 'BdStWeight,TotalVarNeighborhood,BiasType':
getweight(Weight, neighbor, biastype, ...)
## S3 method for class 'BdStWeight,TotalVarNeighborhood,BiasType':
minbiasweight(Weight, neighbor, biastype, ...)

Value

Object of class "HampelWeight" resp. "BdStWeight"

docType

methods

concept

influence curve

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.

See Also

BdStWeight-class, HampelWeight-class, IC-class