A Nonparametric Trend Model for Henan's GDP
Computational Sciences and Optimization（2012）
摘要
In order to quantitatively understand the trend of Henan's GDP in the period of the Twelfth Five-Year Plan, a nonparametric regression model is established based on polynomial spline method in this paper. The fitting average absolute relative error is 8.38%. Comparative analysis illustrates that the proposed model has strong predictive ability. Prediction results show that the average annual growth rate is about 11.07% during the 12th Five-Year Plan. Henan's ecomony will still keep steady and rapid development.
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关键词
average annual growth rate,nonparametric regression model,rapid development,polynomial spline method,five-year plan,prediction result,nonparametric trend model,comparative analysis,average absolute relative error,twelfth five-year plan,spline,fitting,nonparametric regression,predictive models,nonparametric statistics,economic indicators,mathematical model,regression analysis,gross domestic product,polynomials
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