Pilot accident potential as related to total flight experience and recence and frequency of flying.
Myers, Henry Benjamin Jr.
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This thesis introduces exploratory data analysis methods into the question of categorizing pilots and relating these categories to accident potential. The usually recorded flight data deals with the pilots' total flight experience, recency, and frequency of flying. The purpose of categorizing is to determine if the recorded flight data could help discriminate between two original sample groups of fifty pilots each, those pilots with accidents during FY73 and those without. The technique of linear discriminant analysis indicated that there is a significant difference in the mean vectors of flight data for the two groups. The computed discriminant function produced an empirical correct classification rate of 8l$. Techniques of cluster analysis (with the aid of principal components analysis) are also employed to detect patterns or differences in the data. Curiously, the amount of time flown in the last 48 hours is associated with relatively low accident potential, whereas time flown in the last 24 hours seems to be correlated with a higher accident potential.
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