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Statistical Modeling Study on Water Quality Assessment of Taihu River

机译:太湖水质评价的统计建模研究

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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.
机译:本文旨在比较累积逻辑回归分析法和二次判别分析法在太湖水质评价中的应用。可以得出结论,在X倍交叉验证的条件下,累积logistic回归优于二次判别分析,因为在这种情况下,累积logistic回归提供了良好的鲁棒性和超效率。

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