摘要
本文采用回归分析的方法,建立了煤炭发热量与水分、灰分的二元回归方程,并经过R检验、F检验、共线性、自相关性等检验,证实该方程具有可行性及可靠性,建立了回归方程模型。依据回归方程对发热量区间的预测方法进行了说明,为煤炭发热量的预测提供可靠的依据。
In this paper,through the method of regression analysis,the binary regression equation of coal calorific value,moisture and ash content is established.Through R test,F test,collinearity and autocorrelation test,the feasibility and reliability of the equation are verified.The regression equation is established and the prediction method between calorific value areas is explained according to the regression equation,which provides a reliable basis for the prediction of coal calorific value.
作者
徐广成
郑生
左兆迎
王斐
赵政
刘刚
XU Guangcheng;ZHENG Sheng;ZUO Zhaoying;WANG Fei;ZHAO Zheng;LIU Gang(Rizhao Inspection and Certification Co.Ltd.,Rizhao,Shandong,276826,China;College of Safety and Environmental Engineering,Shandong University of Science and Technology)
出处
《检验检疫学刊》
2020年第1期86-88,共3页
Journal of Inspection and Quarantine
关键词
发热量
回归分析
拟合优度
显著性检验
预测
Calorific Value
Regression Analysis
Goodness of FIT
Significance Test
Prediction
