The application of ARIMA model in forecasting population data-Reference-Cited by-同舟云学术

The application of ARIMA model in forecasting population data

Published:2019-10-01 Issue:1 Volume:1324 Page:012100
ISSN:1742-6588
Container-title:Journal of Physics: Conference Series
language:
Short-container-title:J. Phys.: Conf. Ser.

Author:

Dai Jie,Chen Shuping

Abstract

Abstract The prediction of population data plays a positive role in adjusting population policy and promoting the development of social, economic and cultural undertakings. In this paper, the population data of Zhejiang Province from 1978 to 2016 are processed and analyzed by using the principle of time series analysis. In order to test the validity of the parameters selected by this model, the population data of Zhejiang Province in 2017 are verified in this paper. The experimental results show that the actual fitting effect of the model is good. Finally, with the help of SAS software, the population data of Zhejiang Province from 2018 to 2022 are analyzed and forecasted.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

https://iopscience.iop.org/article/10.1088/1742-6596/1324/1/012100/pdf

Reference13 articles.

1. Prediction of the number of Chinese population in the Future under the Comprehensive two-child Policy based on the time Prediction Model[J];He;Course education research,2017

2. The influence of China’s population on Economic Development in the Future[J];Li;Shenzhou,2017

3. Prediction of China’s population under the Comprehensive two-Child Policy based on the two-tier "small World" Model[J];He;Scientist,2017

4. A Comparative study of ARIMA and exponential smoothing method in population Prediction in China[J];Tu;Statistics and Decision,2009

5. A Comparative study on the Prediction models of income Gap between Urban and Rural residents in China[J];Tu;Journal of Anhui Agricultural Sciences,2011

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