Forecasting Sugarcane Production in Laos Using ARIMA Models
Autoregressive Integrated Moving Average (ARIMA) is one of the popular linear models in time series forecasting.It is apply comprehensive to national economy, macroeconomic adjustment and control, area complex development plan, enterprise operating management, market potential forecasting as well as agricultural production prediction.Laos is primarily an agricultural economy with this sector accounted more than half of its GDP and the sugarcane production has very effect to the economic benefit of the nation.So people pay close attention to it.From our literature review, we found the need of a research in this sector.In this article we applied ARIMA model for sixty two years of time series data of sugarcane production in Laos to discover the best fit model and provide five years forecast for the expected sugarcane production in Laos.
Forecasting Time Series Modeling ARIMA Sugarcane Production Laos
Kongkeo Xaychalern Chang Guo Yan Huang Jie Wu
Department of Science, Guizhou Minzu University, China
国内会议
贵阳
英文
160-173
2016-12-18（万方平台首次上网日期，不代表论文的发表时间）