| 山西省人均GDP的发展态势-基于时间序列、最小二乘回归、分位数回归方法 |
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| 引用本文： | 王艳梅,陈希镇,董乃铭.山西省人均GDP的发展态势-基于时间序列、最小二乘回归、分位数回归方法[J].科学技术与工程,2012,12(18):4575-4578. |
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| 作者姓名： | 王艳梅 陈希镇 董乃铭 |
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| 作者单位： | 温州大学数学与信息科学学院,温州,325035 |
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| 摘 要： | 以山西省1980年到2010的人均GDP的资料为依据,利用时间序列分析中的ARMA模型、普通最小二乘回归OLS以及分位数回归模型对山西省人均GDP进行分析研究,以揭示山西省人均GDP增长变化的规律,从而为山西省制定相应的宏观调控政策提供依据。
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| 关 键 词： | 人均GDP ARMA 最小二乘回归 分位数回归 |
| 收稿时间： | 3/7/2012 9:59:11 PM |
| 修稿时间： | 3/18/2012 5:32:18 PM |
The Development of per capita GDP in Shanxi province |
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| wangyanmei,Chen Xizheng and Dong Naiming.The Development of per capita GDP in Shanxi province[J].Science Technology and Engineering,2012,12(18):4575-4578. |
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| Authors: | wangyanmei Chen Xizheng and Dong Naiming |
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| Institution: | (College of Mathematices and Infotmation Science,Wenzhou University,Wenzhou 325035,P.R.China) |
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| Abstract: | Research on per capita GDP in Shanxi province are analyzed and studied based on the datas of Shanxi province per capita GDP from 1980 to 2010 . ARMA model, ordinary least squares regression OLS and quantile regression model are used in order to reveal the change laws of per capita, which benefits relevant departments making corresponding policy of macro-control . |
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| Keywords: | per capita GDP ARMA least squares regression Quantile Regression |
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