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Statistical Analysis for General Aviation Accidents
PI Massoud Bazargan
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.
Research Dates
01/01/2014 to 01/01/2020
Researchers
Categories: Faculty-Staff