摘要
选取2016—2018年国内硫磺价格以及影响价格的到岸价、港口库存量、国际原油价格、硫酸价格、一铵价格和二铵价格等6个自变量,运用Excel多元回归,建立数学模型,并运用2019年上半年数据验证,模型吻合度高,对国内硫磺销售具有一定的指导意义。
This paper chooses the domestic sulfur price from 2016 to 2018 as well as the CIF price and port inventory which affect the price,the price of international crude oil,sulphuric acid,mono ammonium and diammonium,the six independent variables.Excel multiple regression is used to establish the number.The model was validated by the data of the first half of 2019.The results show that the model is in good agreement with each other and has certain guidance significance for domestic sulphur sales.
作者
李大念
Li Danian(SINOPEC Refinery Product Sales Company Limited,Shanghai 200050)
出处
《石油化工技术与经济》
2020年第2期9-11,15,共4页
Technology & Economics in Petrochemicals
关键词
硫磺
价格
变量
回归
验证
sulphur
price
variable
regression
validation