Evaluation and Prediction of Yangtze Water Quality Basted on Logistic Increase Damping Model

机译：基于逻辑增长阻尼模型的长江水质评价与预测

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This paper showed in theory that it is reasonable using Logistic increase damping model to evaluate and predicte the water quality of Yangtze river. Using statistics with R, we realize the model parameter estimation and testing, with the result being significant. The sewage discharge quantities and river length percentages of every class of water quality of 2010-2020 years are predicted using our fitting models.

机译：从理论上讲，采用Logistic增量阻尼模型对长江水质进行评价和预测是合理的。使用带有R的统计量，我们可以实现模型参数的估计和测试，结果是有意义的。使用我们的拟合模型预测了2010-2020年每类水质的污水排放量和河流长度百分比。

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来源
《The proceedings of 2010 international conference on probability and statistics of the International Institute for General Systems Studies.;vol. 2.;Applications on probability and statistics》|2010年|p.452-455|共4页
会议地点 Nanjing(CN);Nanjing(CN)
作者
XU Fu-xia; DONG Yong-quan;
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作者单位

Department of Mathematics and Information Scirnce,Tangshan Teachers College,Tangshan 063000,China;

Department of Mathematics and Information Scirnce,Tangshan Teachers College,angshan 063000,China;

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原文格式 PDF
正文语种 eng
中图分类概率论与数理统计;概率论与数理统计;
关键词
Logistic increase damping model; statistics with R; Yangtze water quality;

机译：Logistic增长阻尼模型; R统计长江水质;

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Evaluation and Prediction of Yangtze Water Quality Basted on Logistic Increase Damping Model

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