Emergency Response Technology Transaction Forecasting Based on SARIMA Model

被引：0

作者：

Sun, Susu ^{[1
]}

Ai, Xinbo ^{[1
]}

Hu, Yanzhu ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Automat, Room 917,New Keyan Bldg,10 Xitucheng Rd, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION & INTELLIGENT TECHNOLOGY AND SYSTEMS | 2013年 / 255卷

关键词：

Emergence response technology transaction; Time series analysis; SARIMA model; R language;

D O I：

10.1007/978-3-642-38460-8_62

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：561 / 568

页数：8

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