Abstract
This research applies discriminant analysis for ships-in-port classification as a new port state control (PSC) targetting system in order to promote the efficiency of PSC. Discriminant analysis generates classification functions for a sample of observations from pre-determined categories. We applied Fisher's linear discriminant function to historical inspection data to create a classification function that select ships with deficiencies worth detention out of object ships. Based on the developed function, a method to estimate the percentage of required inspection to cover a given rate of detention is determined. The result of comparison between proposed targetting system and 2003 revised targetting system shows that the former provides better capture rates in the range of 10-60% inspection rates.
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