asAnscombe: Generating function for asAnscombe-class

View source: R/asAnscombe.R

asAnscombeR Documentation

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 peter.ruckdeschel@fraunhofer.itwm.de

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 Aug. 30, 2024, 3:01 a.m.

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