Description Objects from the Class Slots Extends Methods Author(s) References See Also Examples

Class of asymptotic Anscombe risk which is the ARE (asymptotic relative efficiency) in the ideal model obtained by an optimal bias robust IC .

Objects can be created by calls of the form `new("asAnscombe", ...)`

.
More frequently they are created via the generating function
`asAnscombe`

.

`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

Class `"asRiskwithBias"`

, directly.

Class `"asRisk"`

, by class `"asRiskwithBias"`

.
Class `"RiskType"`

, by class `"asRisk"`

.

- eff
`signature(object = "asAnscombe")`

: accessor function for slot`eff`

.- show
`signature(object = "asAnscombe")`

Peter Ruckdeschel [email protected]

Hampel et al. (1986) *Robust Statistics*.
The Approach Based on Influence Functions. New York: Wiley.

Rieder, H. (1994) *Robust Asymptotic Statistics*. New York: Springer.

Kohl, M. (2005) *Numerical Contributions to the Asymptotic Theory of Robustness*.
Bayreuth: Dissertation.

1 | ```
new("asAnscombe")
``` |

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