QuantileBCCEstimator {RobExtremes} | R Documentation |
Function to compute QuantileBCC estimates for the Weibull Family
Description
Function QuantileBCCEstimator
computes QuantileBCC estimator
(for the Weibull) at real data and returns an object of class Estimate
.
Usage
QuantileBCCEstimator(x, p1 = 1/3, p2 = 2/3,
name, Infos, nuis.idx = NULL,
trafo = NULL, fixed = NULL, na.rm = TRUE,
...)
.QBCC(x, p1 = 1/3, p2 = 2/3)
Arguments
x |
(empirical) data |
p1 , p2 |
levels of the quantiles; maximal breakdown point is achieved
for |
name |
optional name for estimator. |
Infos |
character: optional informations about estimator |
nuis.idx |
optionally the indices of the estimate belonging to nuisance parameter |
fixed |
optionally (numeric) the fixed part of the parameter |
trafo |
an object of class |
na.rm |
logical: if |
... |
not yet used. |
Details
The actual work is done in .QBCC
.
The wrapper QuantileBCCEstimator
pre-treats the data,
and constructs a respective Estimate
object.
Value
.QuantileBCCEstimator |
A numeric vector of length |
QuantileBCCEstimator |
An object of S4-class |
Author(s)
Nataliya Horbenko nhorbenko@gmail.com,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
References
Boudt, K., Caliskan, D., Croux, C. (2011): Robust explicit estimators of Weibull parameters. Metrika, 73 (2), 187–209.
See Also
ParamFamily-class
, ParamFamily
,
Estimate-class
Examples
## (empirical) Data
set.seed(123)
distroptions("withgaps"=FALSE)
x <- rweibull(50, scale = 0.5, shape = 3)
##
QuantileBCCEstimator(x = x)