摘要
针对传统统计方法下的统计数据质量问题,采用时间序列分析方法进行研究,构建国民经济各行业电力消费与GDP的计量模型,指出了现阶段中国的宏观经济数据存在偏差,随着抽样调查技术在中国应用的发展,这种方法将更有利于统计数据质量的改进。
In view of quality problems in data in traditional statistic method,time series analysis was made to establish metrology models between the electricity consumption in each industry of national economy and GDP.Findings show that there exists deviation in China's current macro-economic data.This method of time series analysis will help improve the quality of statistical data with the application of technology for sampling survey in China.
出处
《辽宁工程技术大学学报(社会科学版)》
2013年第1期57-60,共4页
Journal of Liaoning Technical University(Social Science Edition)
基金
秦皇岛市产品质量控制方案研究课题资助项目(201101B025)
关键词
电力消费
国内生产总值
时间序列分析
长期预测
质量诊断
electricity consumption
GDP
analysis of time series
long-term prediction
quality diagnosis