摘要
运用描述性统计和时间序列分析法对我国人口数量及其相关指标,包括人口出生率、人口死亡率等指标进行统计分析和预测,分别得出ARIMA模型,并预测2017年至2022年指标数据,对比真实值显示模型效果较好。为国家制定相关人口政策提供依据。
In this paper,descriptive statistics and time series analysis were used to analyze and forecast the population of China and its related indicators,including birth rate,death rate and so on.The ARIMA models were obtained respectively,and the index data from 2017 to 2022 were predicted.Compared with the real value,the models showed better effect.The basis for the national formulation of relevant population policies was provided.
作者
王燕飞
吴珊
WANG Yanfei;WU Shan(School of Science,Jilin Institute of Chemical Technology,Jilin City 132022,China;School of Mathematical Sciences,Hebei Normal University,Shijiazhuang 050024,China)
出处
《吉林化工学院学报》
CAS
2023年第5期85-90,共6页
Journal of Jilin Institute of Chemical Technology
关键词
描述性统计
时间序列分析
出生率
死亡率
人口数量
descriptive statistics
time series analysis
birth rate
death rate
population