Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescale...
Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescales
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
General aviation accidents have complex interactions and influences within them that cannot be simply explained and predicted by linear models. This study is based on chaos theory and uses general aviation accident data to conduct research on different timescales (HM-scale, ET-scale, and EF-scale). First, time series are constructed by excluding se...
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Full title
Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescales
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TN_cdi_doaj_primary_oai_doaj_org_article_7e11e86ba2c4496dbaa1b4d2d9b847b4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e11e86ba2c4496dbaa1b4d2d9b847b4
Other Identifiers
ISSN
2226-4310
E-ISSN
2226-4310
DOI
10.3390/aerospace10080714