“…Bouras (2015) used three individual forecasting models which are the integrated autoregressive moving average (ARIMA), generalize autoregressive conditional heteroscedasticity (GARCH) and Census X-II models to predict the Moroccan coastal fish production. Mini, Kuriakose, & Sathianandan (2015) studied the quarterly fish landing along Northeast coast of India by comparing the following univariate models which are the Holt-Winter's, ARIMA and neural network autoregression (NNAR) models while in Malaysia, Shabri (2016) proposed a new model, MEMD-ARIMA model in his study by considering the monthly fish landing for East Johor. In a previous study, when the ARIMA and fractionally integrated autoregressive moving average (ARFIMA) models were used in forecasting demersal and pelagic marine fish production in Malaysia, the ARFIMA model was found to be the better model (Shitan, Wee, Chin, & Siew, 2008).…”