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搜索结果: 1-11 共查到parameter uncertainty相关记录11条 . 查询时间(0.093 秒)
A Bayesian method was used to fit the Shuttleworth–Wallace model to half-hourly measurements ofevapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibeta...
This paper introduces the concept of safety-related (SR) uncertainty and the methodology to measure SR uncertainty. SR uncertainty is concerned with the effect of parameter uncertainty on the uncertai...
The optimal reconstruction of cosmic metric perturbations and other signals requires knowledge of their power spectra and other parameters. If these are not known a priori, they have to be measured ...
Parameter uncertainty analysis of climate models has become a standard approach for model validation and testing their sensitivity. Here we present a novel approach that allows one to estimate the rob...
Usually the HBV model is calibrated by seeking one optimal parameter set that represents the catchment. From experience we know, however, that it is hardly poss~ble to find an unique parameter set. ...
In this study, a methodology has been developed to emulate a time consuming Monte Carlo (MC) simulation by using an Artificial Neural Network (ANN) for the assessment of model parametric uncertainty. ...
This paper investigates the impact of parameter uncertainty on capital estimate in the well-known extended Loss Given Default (LGD) model with systematic dependence between default and recovery. We de...
Many banks adopt the Loss Distribution Approach to quantify the operational risk capital charge under Basel II requirements. It is common practice to estimate the capital charge using the 0.999 quan...
Typically, operational risk losses are reported above some threshold. This paper studies the impact of ignoring data truncation on the 0.999 quantile of the annual loss distribution for operational ...
期刊信息 篇名 Recursive dual linear programming approach for parameter-uncertainty-interval estimation 语种 英文 撰写或编译 撰写 作者 孙先仿,张洪钺,范跃祖 第一作者单位 北京航空航天大学 刊物名称 IEE Proceedings - Control Theory and Application 页面 ...
The identification of optimum model parameters may be influenced by temporal or event-specific changes of optimum parameter ranges and the length and information content of calibration data. These eff...

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