Paper Infomation
A Combination Model and Its Application in GDP Forecasting
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Author: He Li, Lili Wei
Abstract: In order to improve the prediction accuracy of the combination forecasting model, a combination model is established on the basis of dynamic exponential smoothing and mixing time series model by taking error range as the optimizing index. The combination forecasting model is applied to prediction of GDP in Ningxia. And the data analysis shows that the combination forecasting model established in this paper has a higher accuracy.
Keywords: Combination Forecasting Model; Dynamic Exponential Smoothing Model; Mixing Time Series Model; GDP
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