This research paper investigates the accuracy of seven time series methods for short-term production volume forecasting. Different methods are compared to measure the forecasting performance on the monthly production volume of the Region XII, Philippines during the 2017-2019 period. The findings revealed that even the autoregressive integrated moving average (ARIMA) model performed well on the given data, but, overall, the best results were achieved with seasonal naïve method.
Sheila Mae D. Golingay (2020); Out-of-sample forecasting of the Region XII, Philippines’ non-metallics production volume using different modeling techniques; International Journal of Scientific and Research Publications (IJSRP)
10(08) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.08.2020.p10469