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Embry-Riddle Scholarly Commons · Faculty research project

Statistical Analysis for General Aviation Accidents

Published 2022-12-07 From Embry-Riddle Aeronautical University 1 author
View on Embry-Riddle Scholarly Commons ↗

Attribution

This is the abstract and citation. Full text lives at Embry-Riddle Scholarly Commons — we link out rather than host. All credit to the authors and Embry-Riddle Aeronautical University.

Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

The identification of causal factors for problems within a complex system present a variety of challenges to the investigator. This project will proceed by considering existing data on GA accidents, applying data mining methods to highlight patterns, applying mathematical and statistical methods to model relationships, and finally to employ simulation to test, refine and verify results.

Author

  • Bazargan, Massoud Embry-Riddle Aeronautical University

Keywords

  • College Of Aviation
  • Daytona Beach Campus

Citation: Bazargan, Massoud (2022). Statistical Analysis for General Aviation Accidents. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:faculty-research-projects-1017. https://commons.erau.edu/faculty-research-projects/18 ↗