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时间序列分析在人口预测问题中的应用 被引量:13

Application of time series analysis in population prediction
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摘要 时间序列分析是研究动态数据的动态结构和发展变化规律的统计方法。以1949年至2001年中国大陆人口自然增长率为例,用时间序列分析和统计学软件Eviews建立模型,并对人口进行预测,取得较好的效果。说明时间序列分析在人口预测问题上是有效的。 Time series analysis is a statistic method studying dynamic structure of dynamic data and the law of development and change. Based on the example of population growth rate between 1949 and 2001 in the mainland of China, mathematic models were established with time series analysis method and statistic software Eviews, and population was predicted with it. It received a good result. Therefore the application of time series analysis is effective in population prediction.
作者 顾海燕
出处 《黑龙江工程学院学报》 CAS 2007年第3期69-71,共3页 Journal of Heilongjiang Institute of Technology
关键词 ARMA模型 EVIEWS软件 平稳性 可逆性 ARMA model Eviews software stability invertibility.
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  • 1Xu Guanghan,IEEE Trans SP,1994年,42卷,3期,539页
  • 2P.J. Brockwell and R.A. Davis.Time Series, Theory and Methods. . 1987
  • 3He Shuyuan.On Estimating the Hidden Periodicities in Linear Time Series Models. Acta Mathematicae Applicatae Sinica . 1987
  • 4Wang Jiagang.Some Estimation Problems for Linear Model of Time Series. Chinese Annals of Mathematics . 1983
  • 5An Hongzhi,Chen Zhaoguo and E.J.Hannan.The Maximum of Periodogram. Journal of Multivariate Analysis . 1983
  • 6C. Chatterjee,R.L. Kashyap and G. Boray.Estimation of Close Sinusoidals in Colored Noise andModel Discrimination. IEEE Transactions on Acoustics Speech and Signal Processing . 1987
  • 7He Shuyuan.Convergence of the Maximum of Periodogram. Sys. Sci. and Math. Sci . 1995
  • 8B. Thuong-Van.A New Approach to nequency Analysis with Amplified Harmonics. J. Roy. Statist.Soc. Ser . 1990
  • 9E.J. Hannan.Non-linear Time Series Regression. Journal of Applied Probability . 1971
  • 10Wang Xiaobao.Law of the iterated Logarithm for Periodogram.Chinese J. Appl. Prob. Statist . 1985

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