摘要
生活质量的评价与分析是生活质量研究中的核心问题,现有的对生活质量进行综合评价的方法,共同具有的缺憾是方法所处理的数据要么是横截面数据,要么是时间序列数据。然而,实际中可获得的样本资料往往是横截面数据与时间序列数据融合在一起的函数性数据。为弥补现有方法的缺陷,基于数据的函数性特征,引入一种对生活质量进行综合评价和分析的全新方法。从数据信息利用的程度来看,其方法明显优于现有的方法。
The evaluation of quality of life is a kernel issue in the research on quality of life. The common shortcoming that the existing methods have is that the data object is either cross - sectional or time-series data. However, the data sets we collect in reality are functional data, which combine cross- sectional and time- series data. In order to counteract the weaknesses of existing methods, this paper presents a completely new data analyzing method for the evaluation and analysis of quality of life based on the functional features of data and the presenting method weights over the existing methods in terms of the exploiting of data information.
出处
《统计与信息论坛》
2007年第2期13-17,共5页
Journal of Statistics and Information
关键词
生活质量
函数性数据
修匀
函数性主成分分析
函数性方差分析
quality of life
functional data
smoothing
functional principal component
functional analysis of variance