checkL2deriv: Generic function for checking L2-derivatives
In ROptEstOld: Optimally Robust Estimation - Old Version
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Generic function for checking the L2-derivative of
an L2-differentiable family of probability measures.
Usage
1
checkL2deriv(L2Fam, ...)
Arguments
L2Fam
L2-differentiable family of probability measures
...
additional parameters
Details
The precisions of the centering and the Fisher information
are computed.
Value
The maximum deviation is returned.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness.
Bayreuth: Dissertation.
See Also
Examples
1
2
F1 <- new("L2ParamFamily")
checkL2deriv(F1)
ROptEstOld documentation built on May 2, 2019, 12:51 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Generic function for checking the L2-derivative of an L2-differentiable family of probability measures.
Usage
1 | checkL2deriv(L2Fam, ...)
|
Arguments
L2Fam |
L2-differentiable family of probability measures |
... |
additional parameters |
Details
The precisions of the centering and the Fisher information are computed.
Value
The maximum deviation is returned.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
References
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
See Also
Examples
1 2 | F1 <- new("L2ParamFamily")
checkL2deriv(F1)
|
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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