(Q58393646)

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Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility

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scholarly article

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Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility (English)

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model calibration

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Soroosh Sorooshian

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Soroosh Sorooshian

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author name string

Vijai Kumar Gupta

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James Lloyd Fulton

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publication date

February 1983

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Water Resources Research

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19

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1

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251-259

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An Automatic Method for Finding the Greatest or Least Value of a Function

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

21 January 2018

Parameter estimation of rainfall-runoff models with heteroscedastic streamflow errors — The noninformative data case

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

21 January 2018

Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: Correlated and heteroscedastic error cases

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

21 January 2018

Uniqueness and observability of conceptual rainfall-runoff model parameters: The percolation process examined

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

7 January 2021

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`` Direct Search'' Solution of Numerical and Statistical Problems

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

7 January 2021

based on heuristic

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Automatic calibration of conceptual rainfall-runoff models: The question of parameter observability and uniqueness

1 reference

https://api.crossref.org/works/10.1029%2FWR019I001P00251

7 January 2021

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Identifiers

10.1029/WR019I001P00251

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