Enhancing Flight Safety through Data-Driven Uncertainty Quantification with Vine Copula Models in Aviation
- Alternative title
-
Verbesserung der Flugsicherheit durch datengestützte Quantifizierung von Unsicherheiten mit Vine-Copula-Modellen in der Luftfahrt
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2024
- Keyword
-
Unsicherheit
Kopula
- Event
-
Veröffentlichung
- (where)
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München
- (who)
-
Universitätsbibliothek der TU München
- (when)
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2024
- Creator
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Alnasser, Hassan Habib
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20240313-1717341-1-2
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 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
- Alnasser, Hassan Habib
- Czado, Claudia
- Holzapfel, Florian
- Universitätsbibliothek der TU München
Time of origin
- 2024
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Stress testing German industry sectors: Results from a vine copula based quantile regression
Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models
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Development of Vine Copula based Drought Indices and Model Evaluation under the Presence of Non-Stationarity
Assessing market risk in BRICS and oil markets: An application of Markov switching and vine copula
Nonparametric estimation in simplified vine copula models
D-vine copula based quantile regression and the simplifying assumption for vine copulas
Application of a vine copula for multi-line insurance reserving
Regime switching vine copula models for global equity and volatility indices
Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
Stress testing German industry sectors: Results from a vine copula based quantile regression
Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models
Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models
Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach
Advances in Dependence Modeling: Multivariate Quantiles, Copula Level Curve Lengths, and Non-Simplified Vine Copulas
Development of Vine Copula based Drought Indices and Model Evaluation under the Presence of Non-Stationarity
Assessing market risk in BRICS and oil markets: An application of Markov switching and vine copula
Nonparametric estimation in simplified vine copula models
D-vine copula based quantile regression and the simplifying assumption for vine copulas
Application of a vine copula for multi-line insurance reserving
Regime switching vine copula models for global equity and volatility indices
Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression
Stress testing German industry sectors: Results from a vine copula based quantile regression
Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models
Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models
Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach
Advances in Dependence Modeling: Multivariate Quantiles, Copula Level Curve Lengths, and Non-Simplified Vine Copulas
Development of Vine Copula based Drought Indices and Model Evaluation under the Presence of Non-Stationarity