Modelling short- and long-term dependencies of clustered high-threshold exceedances in significant wave heights
- 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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In: Dissanayake, P.; Flock, T.; Meier, J.; Sibbertsen, P.: Modelling short- and long-term dependencies of clustered high-threshold exceedances in significant wave heights. In: Mathematics 9 (2021), Nr. 21, 2817. DOI: https://doi.org/10.3390/math9212817
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Gottfried Wilhelm Leibniz Universität Hannover
- (when)
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2021
- Event
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Veröffentlichung
- (where)
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Hannover
- (who)
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Technische Informationsbibliothek (TIB)
- (when)
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2021
- Creator
- DOI
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10.15488/12491
- URN
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urn:nbn:de:101:1-2022072102300441861256
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:34 AM CEST
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
- Dissanayake, Pushpa
- Flock, Teresa
- Meier, Johanna
- Sibbertsen, Philipp
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2021
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Modelling short- and long-term dependencies of clustered high-threshold exceedances in significant wave heights
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Exclusion of Dependencies.
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Modelling short- and long-term dependencies of clustered high-threshold exceedances in significant wave heights
Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights
Percolation Threshold of Clustered, Oriented and Polydisperse Sticks in a Plane
Epidemic threshold in pairwise models for clustered networks: closures and fast correlations
Triangulating Clustered Graphs
Clustered colouring and immersion
Spatially Clustered Survey Designs
Exclusion of Dependencies.
Handling Transitive Dependencies
Discourse multiple dependencies
Inference with large clustered datasets