Description Usage Arguments Value Methods Author(s) References See Also
Generic function for the computation of optimally robust ICs in case of robust models with fixed neighborhoods. This function is rarely called directly.
1 2 3 4 5  getFixRobIC(Distr, risk, neighbor, ...)
## S4 method for signature 'Norm,fiUnOvShoot,UncondNeighborhood'
getFixRobIC(Distr, risk, neighbor,
sampleSize, upper, maxiter, tol, warn, Algo, cont)

Distr 
object of class 
risk 
object of class 
neighbor 
object of class 
... 
additional parameters. 
sampleSize 
integer: sample size. 
upper 
upper bound for the optimal clipping bound. 
maxiter 
the maximum number of iterations. 
tol 
the desired accuracy (convergence tolerance). 
warn 
logical: print warnings. 
Algo 
"A" or "B". 
cont 
"left" or "right". 
The optimally robust IC is computed.
computes the optimally robust influence curve for onedimensional normal location and finitesample under/overshoot risk.
Matthias Kohl Matthias.Kohl@stamats.de
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.
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