摘要
文章结合多元线性回归模型与偏回归平方和理论,对生命周期输入清单数据的不确定性进行分析。首先对数据质量5个方面进行定量分析,结合目前常用的数据质量指标方法确定各数据的概率分布,然后对清单输入数据进行回归分析,建立回归分析模型,计算得出总体不确定性;通过计算各清单输入的偏回归平方和得出各清单输入对回归因变量Y影响较为显著的数据,从而确定各数据对结果的不确定性,最后将该方法应用于洗碗机生命周期清单数据中。
Based on the multivariate linear regression model and the theory of the partial regression squares, the uncertainty of life cycle inventory is analyzed. Firstly the five aspects of data quality are quantificationally analyzed, and the probability distribution of the data is determined based on the common data quality index method. Then the regression analysis of the inventory input data is carried out, and a regression model is set up to calculate the total uncertainty. Through the calculation of the sum of the partial regression squares of inventory, the data which have marked impact on the regression dependent variable Y are obtained, so the uncertainty caused by the data can be obtained. The method is used in the life cycle inventory of a dishwasher to verify its feasibility.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
北大核心
2012年第7期870-873,共4页
Journal of Hefei University of Technology:Natural Science
基金
国家"十二五"科技支撑计划资助项目(2011BAF11B04)
关键词
清单数据
多元线性回归分析
偏回归平方和
数据质量指标
生命周期评价
不确定性分析
inventory
multivariate linear regression analysis
sum of partial regression squares
data quality index
life cycle assessment
uncertainty analysis