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METHOD FOR IDENTIFYING UNCERTAINTY IN FITTING RATING CURVE WITH BAYESIAN REGRESSION

机译:贝叶斯回归拟合曲线的不确定性识别方法

摘要

PURPOSE: An uncertainty analytical method of water level-flow rate relation curve using a Bayesian regression analysis is provided to reduce the uncertainty compared with the general regression analysis. CONSTITUTION: An uncertainty analytical method of water level-flow rate relation curve using a Bayesian regression analysis is as follows. The water level-flow rate data is actually measured or the flow rate is calculated after the water level of the constant number is randomly generated at the uniform distribution. In the water level - flow rate relation curved formula before the parameter estimation, b, that is to say the possession amount water level, is presumed by the golden ratio decomposition method. The constant number of estimation value per parameter(a,c) is gained. The parameters a and c accord to the Bayesian regression analysis of using Matlab and a statistical program based on .
机译:目的:提供一种使用贝叶斯回归分析的水位-流量关系曲线的不确定性分析方法,以减少与一般回归分析相比的不确定性。构成:采用贝叶斯回归分析的水位-流量关系曲线的不确定性分析方法如下。实际测量水位流量数据或在以均匀分布随机生成恒定数量的水位之后计算流量。在参数估计之前的水位-流量关系曲线公式中,b,即占有量水位,通过黄金比例分解法推定。获得每个参数(a,c)的常数估计值。参数a和c符合使用Matlab的贝叶斯回归分析和基于Matlab的统计程序。

著录项

  • 公开/公告号KR100978786B1

    专利类型

  • 公开/公告日2010-08-30

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20080037612

  • 发明设计人 김상욱;정은성;이길성;

    申请日2008-04-23

  • 分类号E02B1/02;G01F25;

  • 国家 KR

  • 入库时间 2022-08-21 18:30:52

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