Emergency Response Technology Transaction Forecasting Based on SARIMA Model

Transactions of emergence response technology is considered to be the security of daily life and production. Due to the important role of emergency response technology transaction, a multiplication seasonal autoregressive integrated moving average (SARIMA) model is applied to the monthly emergence response technology transaction forecasting of the Beijing, China. This study demonstrates the usefulness of SARIMA(0, 1, 1,) x (1, 1, 0)(12) in predicting the transaction series with both short-and long-term persistent periodic components. From the analysis of the transaction series, a conclusion has been made that in the next years, the transaction will maintain it growth and fluctuation.