getFiRisk {RobAStBase} | R Documentation |
Generic Function for Computation of Finite-Sample Risks
Description
Generic function for the computation of finite-sample risks. This function is rarely called directly. It is used by other functions.
Usage
getFiRisk(risk, Distr, neighbor, ...)
## S4 method for signature 'fiUnOvShoot,Norm,ContNeighborhood'
getFiRisk(risk, Distr,
neighbor, clip, stand, sampleSize, Algo, cont)
## S4 method for signature 'fiUnOvShoot,Norm,TotalVarNeighborhood'
getFiRisk(risk, Distr,
neighbor, clip, stand, sampleSize, Algo, cont)
Arguments
risk |
object of class |
Distr |
object of class |
neighbor |
object of class |
... |
additional parameters. |
clip |
positive real: clipping bound |
stand |
standardizing constant/matrix. |
sampleSize |
integer: sample size. |
Algo |
"A" or "B". |
cont |
"left" or "right". |
Details
The computation of the finite-sample under-/overshoot risk is based on FFT. For more details we refer to Section 11.3 of Kohl (2005).
Value
The finite-sample risk is computed.
Methods
- risk = "fiUnOvShoot", Distr = "Norm", neighbor = "ContNeighborhood"
-
computes finite-sample under-/overshoot risk in methods for function
getFixRobIC
. - risk = "fiUnOvShoot", Distr = "Norm", neighbor = "TotalVarNeighborhood"
-
computes finite-sample under-/overshoot risk in methods for function
getFixRobIC
.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269–278.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Risk of M-estimators on Neighborhoods.