摘要
利用SAS软件对钱家营煤的全水分(Mt)、干基灰分(Ad)、收到基低位发热量(Qnet,ar)共134组数据进行线性回归分析,经过检验和回归诊断,确立最优方程,达到了不同实验室再现性精密度的要求。
The linear regression analysis of 134 groups of coal quality data （including total moisture, dry basis ash and net calorific value as received） was achieved by using the SAS software. By regression test and diagnosis, the optimization equation is validated. The requests of reproducibility precision are satisfied between different laboratories.
出处
《煤质技术》
2008年第4期38-39,共2页
Coal Quality Technology
关键词
煤质数据
SAS软件
回归分析
coal quality data
SAS software
regression analysis
