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- W2358304398 abstract "There are a variety of techniques for estimating the parameters of the Muskingum routing model.However the robustness of these methods has to be questioned because of the tendency of outliers in data to strongly influence the outcome.A robust estimation has been presented.The robustness of this estimator has been compared with the least squares method by means of synthetic data sets,in which both Gaussian random errors and outliers have been introduced.The study demonstrates that the robust estimator has the potential to reduce estimation bias in the presence of outliers,and it has an advantage over the least squares method." @default.
- W2358304398 created "2016-06-24" @default.
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- W2358304398 date "2010-01-01" @default.
- W2358304398 modified "2023-09-28" @default.
- W2358304398 title "Parameter estimation for Muskingum routing model based on robust algorithm" @default.
- W2358304398 hasPublicationYear "2010" @default.
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