- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Discussion Paper / SFB 823 ; 13/2011
- Classification
-
Mathematik
- Event
-
Veröffentlichung
- (where)
-
Dortmund
- (who)
-
Universitätsbibliothek Dortmund
- (when)
-
2011
- Handle
-
2003/27663
- URN
-
urn:nbn:de:101:1-201606302309
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
11.03.20252025, 1:47 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
- Dette, Holger
- Preuß, Philip
- Vetter, Mathias
- Universitätsbibliothek Dortmund
Time of origin
- 2011
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A note on testing hypotheses for stationary processes in the frequency domain
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Detecting deviations from second-order stationarity in locally stationary functional time series
A measure of stationarity in locally stationary processes with applications to testing
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Quantile spectral analysis for locally stationary time series
Optimale Versuchspläne für mehrere konkurrierende Polynom-Modelle bei einer gegebenen a-priori-Gewichtung
Prediction in locally stationary time series
Detecting smooth changes in locally stationary processes
Confidence surfaces for the mean of locally stationary functional time series
A note on testing hypotheses for stationary processes in the frequency domain
A distribution free test for changes in the trend function of locally stationary processes
Locally E-Optimal Designs for Exponential Regression Models
Testing nonparametric hypotheses for stationary processes by estimating minimal distances
Detecting deviations from second-order stationarity in locally stationary functional time series
A measure of stationarity in locally stationary processes with applications to testing
A portmanteau-type test for detecting serial correlation in locally stationary functional time series
Quantile spectral analysis for locally stationary time series