asAnscombe-class {ROptEst} | R Documentation |
Asymptotic Anscombe risk
Description
Class of asymptotic Anscombe risk which is the ARE (asymptotic relative efficiency) in the ideal model obtained by an optimal bias robust IC .
Objects from the Class
Objects can be created by calls of the form new("asAnscombe", ...)
.
More frequently they are created via the generating function
asAnscombe
.
Slots
type
Object of class
"character"
: “optimal bias robust IC (OBRI) for given ARE (asymptotic relative efficiency)”.eff
Object of class
"numeric"
: given ARE (asymptotic relative efficiency) to be attained in the ideal model.biastype
Object of class
"BiasType"
: symmetric, one-sided or asymmetric
Extends
Class "asRiskwithBias"
, directly.
Class "asRisk"
, by class "asRiskwithBias"
.
Class "RiskType"
, by class "asRisk"
.
Methods
- eff
signature(object = "asAnscombe")
: accessor function for sloteff
.- show
signature(object = "asAnscombe")
Author(s)
Peter Ruckdeschel peter.ruckdeschel@fraunhofer.itwm.de
References
F.J. Anscombe (1960). Rejection of Outliers. Technometrics 2(2): 123-146. doi:10.1080/00401706.1960.10489888.
F. Hampel et al. (1986). Robust Statistics. The Approach Based on Influence Functions. New York: Wiley. doi:10.1002/9781118186435.
M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness. Dissertation. University of Bayreuth. https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf.
H. Rieder (1994). Robust Asymptotic Statistics. Springer. doi:10.1007/978-1-4684-0624-5.
See Also
Examples
new("asAnscombe")