Abstract
A summary and critical review of stochastic models for multi-site hydrology are presented. In applications in the literature inadequate or improper model building procedures are often used; frequently, inefficient estimation techniques are employed, and no statistical identification or diagnostic checking is attempted. A review of recent statistical developments in multivariate ARMA models is given. Efficient estimation procedures for multi-site riverflows are presented. These techniques are demonstrated with some examples given from multi-site hydrology and from water quality studies.
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© 1987 D. Reidel Publishing Company, Dordrecht, Holland
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Camacho, F., McLeod, A.I., Hipel, K.W. (1987). The Use and Abuse of Multivariate Time Series Models in Hydrology. In: MacNeill, I.B., Umphrey, G.J., McLeod, A.I. (eds) Advances in the Statistical Sciences: Stochastic Hydrology. The University of Western Ontario Series in Philosophy of Science, vol 37. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4792-4_2
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DOI: https://doi.org/10.1007/978-94-009-4792-4_2
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