计算机工程与应用2016，Vol.52Issue(12)：53-59,7.DOI:10.3778/j.issn.1002-8331.1602-0164
一种基于微观实物量数据的价值量推算方法
Learning method for magnitude of value based on micro-physical quantity data
摘要
Abstract
The relationship between physical magnitude and value magnitude is the core in System of National Account (SNA). Value magnitude estimation is an important problem in the research of government data quality. This paper proposes a learning method for magnitude of value based on micro-physical quantity data. It mainly concerns about enterprise micro level data, which achieves value magnitude learning based on micro-physical quantity combining variable selection algorithm, structure selection model and Structure Equation Model(SEM). With real survey on lodging industry, it evaluates the effect of SEM with different variable selection and different hybrid tree structure selection. The results demonstrate that the pro-posed learning system can compact structure and avoid design risk, and can better refine the main statistical dependencies of value magnitude for the physical quantity.关键词
微观实物量/价值量推算/变量选择/结构选择/结构方程模型Key words
physical quantity/value magnitude learning/variable selection/structure selection/Structure Equation Model(SEM)分类
信息技术与安全科学引用本文复制引用
宋涛,王星,马立平..一种基于微观实物量数据的价值量推算方法[J].计算机工程与应用,2016,52(12):53-59,7.基金项目
中央高校基本科研业务费专项项目资助（No.13XNI011）。 （）
