Stochasticity, nonlinearity and forecasting of streamflow processes

Title

Stochasticity, nonlinearity and forecasting of streamflow processes

Author

Wang, W.

Contributor

Vrijling, J.K. (promotor)

Faculty

Civil Engineering and Geosciences

Date

2006-05-24

Abstract

Abstract not available

Subject

streamflow
hydrological forecast
time series analysis
long memory
stationarity
autoregressive conditional heteroskedasticity
nonlinearity
chaos
predictability
artificial neural network
data-driven model

To reference this document use:

http://resolver.tudelft.nl/uuid:d467b1a4-22ce-4009-b4cd-2c04dcd56d03

Publisher

IOS Press

ISBN

1-58603-621-1

Part of collection

Institutional Repository

Document type

doctoral thesis

Rights

(c) 2006 W. Wang and IOS Press