Robust Liu-Type Estimation and Its Applications in Teaching Satisfaction Assessment

摘要：

Considering the fact that multicollinearity and outliers coexist in teaching satisfaction assessment, the paper puts forward a new robust biased estimation-Robust Liu-Type estimation to combat multicollinearity and outliers coexisting in teaching satisfaction assessment based on Liu-Type estimation and M estimation. Using data in practice, the comparisons of Robust Liu-Type estimate with Robust LS estimate, Ridge estimate and Ridge-principal components estimate show that the Robust Liu-Type Estimate does work well.

关键词： Multicollinearity Liu-Type Estimate Robust Estimate Teaching Satisfaction Assessment

作者: WANG Chunying

作者单位: Huazhong University of Science and Technology, Wuhan, P.R.China 430074 Institute of Science, Information Engineering University, Zhengzhou, P.R.China, 450001

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）