摘要
基于2004—2015年成都市社会消费品零售总额季度数据,采用简单季节模型、乘积季节模型和X-12加法模型,对2016年成都市社会消费品零售总额季度数据进行预测分析,得出2016年成都市社会消费品零售总额的季度预测值。通过比较2016年季度平均相对误差和年度相对误差,表明X-12加法模型相比其他两种模型相对误差较小。模型的构建和对比分析将对相关研究提供参考依据。
Based on the quarterly data of the total retail sales of social consumption goods in Chengdu from 2004 to 2015,the simple seasonal model, the multiplicative seasonal model and the X-12 additive model were used to predict the total retail sales of social consumption goods in Chengdu in 2016. By comparing the quarterly average relative error and the an nual relative error of 2016, the result shows that the X-12 additive model has less relative error than the other two models. The construction and comparison of the model will provide references for the related research.
作者
彭丽霞
赵联文
谢波
王丽梅
PENG Lixia;ZHAO Lianwen;XIE Bo;WANG Limei(School of Mathematics, Southwest Jiaotong University, Chengdu Sichuan 610675, China)
出处
《重庆文理学院学报(社会科学版)》
2018年第3期132-140,共9页
Journal of Chongqing University of Arts and Sciences(Social Sciences Edition)
关键词
社会消费品零售总额
季节模型
X-12加法模型
total retail sales of social consumption goods
seasonal model
X-12 addition model