asAnscombe: Generating function for asAnscombe-class

In ROptEst: Optimally Robust Estimation

Generating function for asAnscombe-class

Description

Generates an object of class "asAnscombe".

Usage

asAnscombe(eff = .95, biastype = symmetricBias(), normtype = NormType())

Arguments

eff	value in (0,1]: ARE in the ideal model
biastype	a bias type of class BiasType
normtype	a norm type of class NormType

Value

Object of class asAnscombe

Author(s)

Peter Ruckdeschel [e-mail]

References

F.J. Anscombe (1960). Rejection of Outliers. Technometrics 2(2): 123-146. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00401706.1960.10489888")}.

F. Hampel et al. (1986). Robust Statistics. The Approach Based on Influence Functions. New York: Wiley. \Sexpr[results=rd]{tools:::Rd_expr_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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-1-4684-0624-5")}.

See Also

asAnscombe-class

Examples

asAnscombe()

## The function is currently defined as
function(eff = .95, biastype = symmetricBias(), normtype = NormType()){ 
    new("asAnscombe", eff = eff, biastype = biastype, normtype = normtype) }

ROptEst documentation built on Sept. 12, 2024, 7:40 a.m.