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Title:

An Application of D-vine Regression for the Identification of Risky Flights in Runway Overrun

Document type:
Zeitschriftenaufsatz
Author(s):
Alnasser, Hassan H.; Czado, Claudia
Abstract:
In aviation safety, runway overruns are of great importance because they are the most frequent type of landing accidents. Identification of factors which contribute to the occurrence of runway overruns can help mitigate the risk and prevent such accidents. Methods such as physics-based and statistical-based models were proposed in the past to estimate runway overrun probabilities. However, they are either costly or require experts' knowledge. We propose a statistical approach to quantify the ris...     »
Dewey Decimal Classification:
510 Mathematik
Journal title:
Preprint
Year:
2022
Language:
en
Fulltext / DOI:
doi:10.48550/ARXIV.2205.04591
Publisher:
arXiv
Submitted:
09.05.2022
Semester:
SS 22
TUM Institution:
Professur für Angewandte Mathematische Statistik
Format:
Text
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