Statistical Modeling Study on Water Quality Assessment of Taihu River

摘要：

This paper aims to compare cumulative logistic regression methodology with quadratic discriminant analysis methodology on water quality assessment of Taihu River. It can be concluded that under the condition of X-fold cross-validation, cumulative logistic regression outperforms quadratic discriminant analysis, because in this case the cumulative logistic regression provides good robustness and superefficiency.

关键词： cumulative logistic regression quadratic discriminant analysis water quality assessment k-fold cross-validation

作者: LIU Hongmei JIN Mingzhong

作者单位: College of Science, Guizhou University for Nationalities, P.R.China, 550025

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 506-509

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）