Minimum distance estimation of Pickands dependence function for multivariate distributions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Discussion Paper / SFB 823 ; 31/2012
- Classification
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Mathematik
- Event
-
Veröffentlichung
- (where)
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Dortmund
- (who)
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Universitätsbibliothek Dortmund
- (when)
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2012
- Handle
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2003/29567
- URN
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urn:nbn:de:101:1-201605033418
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:57 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Berghaus, Betina
- Bücher, Axel
- Dette, Holger
- Universitätsbibliothek Dortmund
Time of origin
- 2012
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A unified asymptotic expansion for distributions of quadratic functionals in nonlinear regression models
Multiscale inference for multivariate deconvolution
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Bootstrapping frequency domain tests in multivariate time series with an applicaton to comparing spectral densities
New estimators of the Pickands dependence function and a test for extreme-value dependence
Fourier analysis of serial dependence measures
Natural (non-)informative priors for skew-symmetric distributions
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Optimale Versuchspläne für mehrere konkurrierende Polynom-Modelle bei einer gegebenen a-priori-Gewichtung
Optimal designs for comparing regression curves - dependence within and between groups
A unified asymptotic expansion for distributions of quadratic functionals in nonlinear regression models
Multiscale inference for multivariate deconvolution
Multiscale inference for multivariate deconvolution
Bootstrapping frequency domain tests in multivariate time series with an applicaton to comparing spectral densities
New estimators of the Pickands dependence function and a test for extreme-value dependence
Fourier analysis of serial dependence measures
Natural (non-)informative priors for skew-symmetric distributions
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