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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-Timescale...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e11e86ba2c4496dbaa1b4d2d9b847b4

Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescales

About this item

Full title

Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescales

Publisher

Basel: MDPI AG

Journal title

Aerospace, 2023-08, Vol.10 (8), p.714

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

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...

Alternative Titles

Full title

Nonlinear Time Series Analysis and Prediction of General Aviation Accidents Based on Multi-Timescales

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

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

How to access this item