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Space-time evaluation of reservoir regulation policies

Published online by Cambridge University Press:  01 July 2016

Stuart J. Deutsch
Affiliation:
Georgia Institute of Technology
José A. Ramos
Affiliation:
Georgia Institute of Technology

Extract

Stochastic modeling of vector hydrologic time series exhibiting spatial as well as temporal correlations is examined with the general class of STARIMA, space-time autoregressive integrated moving-average models.

Type
Applied Probability in Biology and Engineering. An ORSA/TIMS Special Interest Meeting
Copyright
Copyright © Applied Probability Trust 1984 

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