Time series analysis and forecasting techniques applied on loliginid and ommastrephid landings in Greek waters

Time series analysis techniques (ARIMA models), artificial neural networks (ANNs) and Bayesian dynamic models were used to forecast annual loliginid and ommastrephid landings recorded from the most important fishing ports in the Northern Aegean Sea (1984–1999). The techniques were evaluated based on their efficiency to forecast and their ability to utilise auxiliary environmental information. Applying a “stepwise modelling” technique, namely by adding stepwise predictors and comparing the quality of fit, certain inferences concerning the importance of the predictors were made.