(Q61468474)

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Errors and Parameter Estimation in Precipitation-Runoff Modeling: 1. Theory

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title

Errors and Parameter Estimation in Precipitation-Runoff Modeling: 1. Theory (English)

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1

Brent M. Troutman

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publication date

August 1985

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published in

Water Resources Research

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volume

21

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issue

8

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page(s)

1195-1213

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cites work

On the Treatment of Evapotranspiration, Soil Moisture Accounting, and Aquifer Recharge in Monthly Water Balance Models

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Parameter Transformations for Improved Approximate Confidence Regions in Nonlinear Least Squares

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A Comparison Between Maximum Likelihood and Generalized Least Squares in a Heteroscedastic Linear Model

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Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 1. Theory

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Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 2. Applications

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Effect of rainfall variability on streamflow simulation

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A rainfall-runoff simulation model for estimation of flood peaks for small drainage basins

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

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A comparison of four streamflow record extension techniques

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Asymptotic Properties of Non-Linear Least Squares Estimators

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The Fitting of Straight Lines when Both Variables are Subject to Error

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A correlation procedure for augmenting hydrologic data

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

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

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Surface water hydrology: On-line estimation

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Response surface parameter sensitivity analysis methods for postcalibration studies

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

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

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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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An analysis of input errors in precipitation-runoff models using regression with errors in the independent variables

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DOI

10.1029/WR021I008P01195

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(Q61468474)

Errors and Parameter Estimation in Precipitation-Runoff Modeling: 1. Theory

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