fiUnOvShoot-class: Finite-sample under-/overshoot probability
In ROptEstOld: Optimally Robust Estimation - Old Version
Description
Objects from the Class
Slots
Extends
Methods
Author(s)
References
See Also
Examples
Description
Class of finite-sample under-/overshoot probability.
Objects from the Class
Objects can be created by calls of the form new("fiUnOvShoot", ...).
More frequently they are created via the generating function
fiUnOvShoot.
Slots
type:Object of class "character":
“finite-sample under-/overshoot probability”.
width:Object of class "numeric":
half the width of given confidence interval.
Extends
Class "fiRisk", directly.
Class "RiskType", by class "fiRisk".
Methods
- width
signature(object = "fiUnOvShoot"):
accessor function for slot width.
- show
signature(object = "fiUnOvShoot")
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor.
Verw. Geb. 10:269–278.
Rieder, H. (1989) A finite-sample minimax regression estimator.
Statistics 20(2): 211–221.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness.
Bayreuth: Dissertation.
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Risk
of M-estimators on Neighborhoods.
See Also
Examples
1
new("fiUnOvShoot")
ROptEstOld documentation built on May 2, 2019, 12:51 p.m.
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Description Objects from the Class Slots Extends Methods Author(s) References See Also Examples
Description
Class of finite-sample under-/overshoot probability.
Objects from the Class
Objects can be created by calls of the form new("fiUnOvShoot", ...).
More frequently they are created via the generating function
fiUnOvShoot.
Slots
type:Object of class
"character": “finite-sample under-/overshoot probability”.width:Object of class
"numeric": half the width of given confidence interval.
Extends
Class "fiRisk", directly.
Class "RiskType", by class "fiRisk".
Methods
- width
signature(object = "fiUnOvShoot"): accessor function for slotwidth.- show
signature(object = "fiUnOvShoot")
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269–278.
Rieder, H. (1989) A finite-sample minimax regression estimator. Statistics 20(2): 211–221.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Risk of M-estimators on Neighborhoods.
See Also
Examples
1 | new("fiUnOvShoot")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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