A new method for fitting the complicated water level process of the lower Yellow River

A new method for fitting the complicated water level process of the lower Yellow River
复制标题

黄河下游复杂水位过程拟合新方法

DOI:
10.1007/s11431-009-0300-4
复制
发表时间:
2009-09
期刊:
Science in China Series E-Technological Sciences
影响因子:
--
通讯作者:
Chen JieRen
Chen JieRen
中科院分区:
其他
文献类型:
--
作者:
Wu JiChun;Zuo YiJun;Yuan YongSheng;Chen JieRen

文献摘要

参考文献

相似文献

为了有效拟合黄河下游复杂的水位过程,将多项式回归、逐步回归、脊估计参数等方法进行了逻辑整合。并介绍了渐进式变换。然后提出了一种新的方法。该方法与同类方法的核心区别在于考虑了复杂水位过程中常见的弱影响因素的强耦合效应,综合采用多种有效方法减小拟合模型误差,并引入了必要的渐进变换。该方法将多种理论和方法的优点在逻辑上结合在一起,易于使用。该方法中每一步的合理性和必要性都有充分的理论保证,因此该方法可以广泛地用于有效地模拟同类复杂数据中的内在关系。此外,该方法还对黄河下游许多复杂的水位过程进行了拟合,其拟合精度明显高于其他现有方法的精度。拟合模型中的每个分量项都有明确的物理意义。
With the view of effectively fitting the complicated water level process of the lower Yellow River, polynomial regression, stepwise regression, parameters by ridge estimate and so on, are logically integrated. And the progressive transformation is introduced. Then a new method is put forward. The core difference of this new method from the same kind of methods lies in that in this method the strong coupling effect of weak influencing factors which is common in a complicated water level process is considered, that many effective methods are synthetically used to reduce the fitting model error, and that the necessary progressive transformation is introduced. The advantages of many theories and methods are logically integrated in this method, and the method can be easily used. The rationality and necessity of each step in this method are ensured by sufficient theories, so this method can be widely used to effectively simulate the inherent relations in the same kind of complicated data. Furthermore, many complicated water level processes of the lower Yellow River are fitted by this method, and all the fitting precisions are markedly higher than the precision by the other existing methods. Every component term in the fitting model has clear physical meaning.
DOI: 10.1080/02664763.2013.816069
发表时间: 2013-10
影响因子: 1.5
作者:
P. B. Ober
通讯作者: P. B. Ober
DOI: 10.1214/aos/1034276628
发表时间: 1997-02
影响因子: 4.5
作者:
P. K. Bhattacharya;P. Zhao
通讯作者: P. K. Bhattacharya;P. Zhao
DOI: 10.1080/00401706.2000.10485983
发表时间: 2000-02
期刊: Technometrics
影响因子: 2.5
作者:
A. E. Hoerl;R. Kennard
通讯作者: A. E. Hoerl;R. Kennard
DOI: 10.1198/016214504000001529
发表时间: 2005-06
影响因子: 3.7
作者:
A. Samarov;V. Spokoiny;C. Vial
通讯作者: A. Samarov;V. Spokoiny;C. Vial
DOI: --
发表时间: 2003
影响因子: 2.4
作者:
Yuan Yong-sheng
通讯作者: Yuan Yong-sheng