Arima Model for Forecasting of Dairy Production in Mongolia by Using Eviews

摘要：

　　Autoregressive integrated moving average(ARIMA)approach has been applied for modeling and forecasting of dairy production of Mongolia.Augmented Dickey-Fuller(ADF)test,autocorrelation function(ACF)and partial autocorrelation function(PACF)were estimated,which led to the identification and construction of ARIMA models,for explaining the time series and forecasting the future production.Based on the EViews software,the forecast procedure with ARIMA model is illustrated in this work.The best identified model for the data under consideration was used for forecasting up to the April year 2019 to June of 2019.The projected production by using ARIMA(3,1,1)would be increased to 18735 million tugrugs by June of 2019.

关键词： ARIMA ADF Dairy production forecasting EViews

作者: Gombodorj.Bumanjargal

作者单位: Mongolian University of Life Science

会议类型: 国际会议

会议名称: The 8th International Conference on Economic and Social Sustainable Development of Mongolian Plateau Pastoral Areas(第八届蒙古高原牧区经济与社会可持续发展国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 181-188

在线出版日期: 2019-12-06（万方平台首次上网日期，不代表论文的发表时间）