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Statistical Analysis for General Aviation Accidents

Embry-Riddle Scholarly Commons · Faculty research project · oai:commons.erau.edu:faculty-research-projects-1017 · Published 2022-12-07 · Embry-Riddle Aeronautical University · 1 author

Abstract and citation only, verbatim from Embry-Riddle Scholarly Commons; full text lives there. All credit to the authors and Embry-Riddle Aeronautical University.

Abstract

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 ↗