摘要
基于集对分析方法和近20年来的居民消费数据,建立了我国城镇居民的消费增量预测模型、进而研究了居民的消费水平。通过和常规的回归方法相比,阐明了集对分析方法在研究居民消费增量的等级变化问题方面的优点。研究结果也表明了集对分析方法在等级分类和趋势预测这一类似确定又不确定的问题上有良好的应用效果。
Based on a seft pair analysis(SPA)method and data collected over recent 20 years,a real life investigation into Chinese urban inhabtant's consumption level has been carried out by building a forecasting model of the increment in the consumption and analyzing the collected data based on it.The investigation demonstrates that SPA method proposed herein is applicable to problems of grade classification and trend forecast.In addition,a comparison between the commonly used regressive method and the proposed SPA method is made and the result shows that the latter has some encouraging advantage over the former.
出处
《数理统计与管理》
CSSCI
北大核心
2003年第6期36-40,23,共6页
Journal of Applied Statistics and Management