Forecasting the Cement Strength Based on the Principal Component Regression Model

被引：0

作者：

Zhou Yongzheng ^{[1
]}

Zhou Yong ^{[1
]}

Kong Dejuan ^{[1
]}

机构：

[1] Jingdezhen Ceram Inst, Coll Informat Engn, Jingdezhen 333403, Peoples R China

来源：

STATISTIC APPLICATION IN MACROECONOMY AND INDUSTRY SECTORS | 2010年

关键词：

The principal component regression; Cement strength; Collinearity; Model fitting;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In multivariate analysis, the least square method is often used multiple linear regression model. However, the least squares estimation is sometimes far from ideal, this case of resulting is the dependent variable often exist the strong collinearity. This paper discusses the principles of the principal component regression and calculation steps and we use the real-time data of the Jingdezhen City Chongyang Cement Industrial Co., Ltd. to create the model predict it.

引用

页码：363 / 369

页数：7

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