Testing for nonlinearity of streamflow processes at different timescales

By Wen Wang, J. Vrijling, P. Gelder, Jun Ma. 2006

101 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/b348e53fa876091e0589a4c70bb233b98beb9384

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Taha B. M. J. Ouarda

In Economics and Econometrics

1. Taha B. M. J. Ouarda
2. Reza Modarres

In Statistical and Nonlinear Physics

1. Kwok-Wing Chau
2. Taha B. M. J. Ouarda
3. C. Wu
4. Yan Li
5. Reza Modarres

Citations in the corpus

• Modeling rainfall–runoff relationship using multivariate GARCH model (2013, background): “The intensity of stationarity may be related to the intensity of nonlinearity (as also stated by Wang et al., 2006) but our results indicate that the stationarity and nonlinearity may vary in the opposite direction.”
• Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques (2009, methodology): “However, some doubts have been raised in terms of the existence of chaos in hydrologic data [Ghilardi and Rosso, 1990; Koutsoyiannis and Pachakis, 1996; Pasternack, 1999; Schertzer et al., 2002; Wang et al., 2006a].”