Quality Modeling for Multicollinearity Data Based on EIV Model
The phenomena that variables have multicollinearity and observational errors are universal in industry production. In this paper, the authors propose to use the errors-in-variables (EIV) model for quality modeling, and discuss the method for removing multicollinearity in quality modeling by employing EIV model. Following this, simulation experiment and a real quality modeling case are studied, which concludes that we can get quality model of high fitting precision and strong explanatory capability for real industrial process by EIV model.
Quality Modeling Multicollinearity EIV Model Structural Relationship Model (SRM)
CHENG Longsheng NIU Junlei
School of Economics and Management, Nanjing University of Science and Technology, P.R.China, 210094
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-5
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）