Using filtered Poisson processes to model a river flow

DOI10.1016/J.APM.2007.09.035zbMath1167.60354OpenAlexW2036224736MaRDI QIDQ838219

Jean-Luc Guilbault, Mario Lefebvre

Publication date: 23 August 2009

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2007.09.035

zbMATH Keywords

modelingconditional expectationforecastinglinear regressionresponse functiondelaware river

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of renewal theory (reliability, demand theory, etc.) (60K10)

Related Items (4)

An application of filtered renewal processes in hydrology ⋮ Modeling and forecasting river flows by means of filtered Poisson processes ⋮ An extended class of univariate and multivariate generalized Pólya processes ⋮ Explicit quasi-optimal inspection schemes from nonconformity count data with controlled producer and consumer risks

Cites Work

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• Conceptually-based shot noise modeling of streamflows at short time interval
• On the shot-noise streamflow model and its applications
• A filtered renewal process as a model for a river flow

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