Accession Number : ADA320790
Title : The Prediction Algorithm for the Landing Craft Air Cushion Vehicle (LCAC) Selection System,
Corporate Author : NAVAL AEROSPACE MEDICAL RESEARCH LAB PENSACOLA FL
Personal Author(s) : Blower, David J.
PDF Url : ADA320790
Report Date : 01 NOV 1996
Pagination or Media Count : 25
Abstract : This paper explains the prediction algorithm used by the Landing Craft Air Cushion Vehicle (LCAC) selection system. Five variables from a psychomotor test battery were combined to form a composite score. This composite score was then compared to a threshold score. If a candidate for an LCAC crew position achieved a composite score higher than the threshold score, that candidate was predicted to pass Phase I of LCAC training. Likewise, if a candidate scored lower than the threshold score he was predicted to fail training. The threshold score was determined by Statistical Decision Theory as interpreted from the Bayesian approach. Examples are given showing how the threshold scores can change as a function of the prior probabilities of pass or fail and the values attached to making correct and incorrect predictions.
Descriptors : *ALGORITHMS, *PREDICTIONS, *AIR CUSHION VEHICLES, *LANDING CRAFT, *STATISTICAL DECISION THEORY, MATHEMATICAL MODELS, POSITION(LOCATION), THRESHOLD EFFECTS, BAYES THEOREM, SELECTION, TANK CREWS, SCORING, PSYCHOMOTOR TESTS.
Subject Categories : Statistics and Probability
Surface Effect Vehicles & Amphibious Vehicles
Distribution Statement : APPROVED FOR PUBLIC RELEASE