locMEstimator {RobAStBase} | R Documentation |
Generic function for the computation of location M estimates
Description
Generic function for the computation of location M estimates.
Usage
locMEstimator(x, IC, ...)
## S4 method for signature 'numeric,InfluenceCurve'
locMEstimator(x, IC, eps = .Machine$double.eps^0.5, na.rm = TRUE)
Arguments
x |
sample |
IC |
object of class |
... |
additional parameters |
eps |
the desired accuracy (convergence tolerance). |
na.rm |
logical: if |
Details
Given some sample x
and some influence curve IC
an M estimate is computed by solving the corresponding
M equation.
Value
Object of class "MEstimate"
Methods
- x = "numeric", IC = "InfluenceCurve"
univariate location.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Huber, P.J. (1964) Robust estimation of a location parameter. Ann. Math. Stat. 35: 73–101.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
See Also
InfluenceCurve-class
, MEstimate-class
[Package RobAStBase version 1.2.5 Index]