Description Usage Arguments Details Value Methods Note Author(s) References See Also Examples
Generic function for the computation of a risk for an IC.
1 2 3 4 5 6 7 8 9  getRiskIC(IC, risk, neighbor, L2Fam, ...)
## S4 method for signature 'HampIC,asCov,missing,missing'
getRiskIC(IC, risk, withCheck= TRUE, ...)
## S4 method for signature 'HampIC,asCov,missing,L2ParamFamily'
getRiskIC(IC, risk, L2Fam, withCheck= TRUE, ...)
## S4 method for signature 'TotalVarIC,asCov,missing,L2ParamFamily'
getRiskIC(IC, risk, L2Fam, withCheck = TRUE, ...)

IC 
object of class 
risk 
object of class 
neighbor 
object of class 
... 
additional parameters to be passed to 
L2Fam 
object of class 
withCheck 
logical: should a call to 
To make sure that the results are valid, it is recommended
to include an additional check of the IC properties of IC
using checkIC
.
The risk of an IC is computed.
asymptotic covariance of IC
read off from corresp. Risks
slot.
asymptotic covariance of IC
under L2Fam
read off from corresp. Risks
slot.
asymptotic covariance of IC
read off from corresp. Risks
slot,
resp. if this is NULL
calculates it via getInfV
.
This generic function is still under construction.
Peter Ruckdeschel [email protected]
Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269–278.
Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106–115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
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 Mestimators on Neighborhoods.
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