| 残差自回归模型的研究——基于四川省人均GDP的实证分析 |
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| 引用本文： | 何慧,高登蕊,冯长焕.残差自回归模型的研究——基于四川省人均GDP的实证分析[J].甘肃联合大学学报(自然科学版),2014(4):30-32. |
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| 作者姓名： | 何慧 高登蕊 冯长焕 |
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| 作者单位： | 西华师范大学数学与信息学院; |
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| 摘 要： | 采用1979年到2012年的四川人均GDP数据,通过建立残差自回归模型对四川人均GDP进行了预测。结果表明,对残差进行序列相关模型处理有利于对数据的内在趋势进行提取,从而更好地描述数据统计的内在规律。最后对四川省人均GDP做了短期预测,并与真实值进行了比较。
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| 关 键 词： | 残差自回归 序列相关 预测 |
Study on Residuals Automatic Regression Model for Per Capita GDP of Sichuan Province |
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| HE Hui,GAO Deng-rui,FENG Chang-huan.Study on Residuals Automatic Regression Model for Per Capita GDP of Sichuan Province[J].Journal of Gansu Lianhe University :Natural Sciences,2014(4):30-32. |
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| Authors: | HE Hui GAO Deng-rui FENG Chang-huan |
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| Institution: | (School of Mathematics and Information, China West Normal University, Nanchong 637002, China) |
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| Abstract: | Using 1979 to 2012per capita GDP data of Sichuan province,through the establishment of the residuals the automatic regression model,the per capita GDP of Sichuan were forecasted by establishing the residuls automatic regression model.The results showed that the serial correlation model processing of residual can be beneficial for the extraction of the data intrinsic tendency,in order to better describe the inherent laws of data statistics.Finally,a short-term prediction on the per capita GDP of Sichuan Province was made,and comparing with the real was given. |
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| Keywords: | residuals from the automatic regression serial correlation predict |
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