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- W2201514907 abstract "Many different stochastic models are used in water quality modeling considering uncertainties. Most commonly used by practising engineers are differential equations whose parameters are considered as random variables. Solutions of such differential equations are classified as predictive processes. Less commonly used models consider the parameters of the models as random processes giving model solutions that are non-smooth regular processes. In this paper, the mean and standard deviations of these conceptually different models are compared and the glaring differences in the moment estimates between these two models are pointed out to especially the practising engineers.KeywordsMonte CarloBiochemical Oxygen DemandMoment EquationRiver Water QualityWater Quality ModelingThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W2201514907 title "Computational Methods in Stochastic River Waters Quality Modeling" @default.
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