1985
DOI: 10.1111/j.1752-1688.1985.tb05383.x
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APPROACHES TO MULTIVARIATE MODELING OF WATER RESOURCES TIME SERIES1

Abstract: Alternative approaches suggested for modeling multiseries of water resources systems are reviewed and compared. Most approaches fall within the general framework of multivariate ARMA models. Formal modeling procedures suggest a three‐stage iterative process, namely: model identification, parameter estimation and diagnostic checks. Although a number of statistical tools are already available to follow such modeling process, in general, it is not an easy task, especially if high order vector ARMA models are used… Show more

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Cited by 106 publications
(62 citation statements)
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“…The WilsonHilferty transformation fits well to the given data on the basis of chi-square statistics for different distributions. The procedure for a Wilson-Hilferty transformation (Salas et al, 1985) is as follows:…”
Section: Normalization Of the Seriesmentioning
confidence: 99%
“…The WilsonHilferty transformation fits well to the given data on the basis of chi-square statistics for different distributions. The procedure for a Wilson-Hilferty transformation (Salas et al, 1985) is as follows:…”
Section: Normalization Of the Seriesmentioning
confidence: 99%
“…These include blackbox/stochastic models and physical/conceptual models (e.g. Salas et al, 1985;Hydrological Engineering Center, 1990). Although physically based models are useful for understanding the mechanisms involved in the process, the black-box models are easier to implement.…”
Section: Introductionmentioning
confidence: 99%
“…Since then, several multivariate models have been proposed in water resource literature. Different multivariate ARMA models are classified and reviewed by Salas et al (1985). The autoregressive model with constant parameters AR(p) (Salas et ai, 1980) is given below:…”
Section: Multivariate Time Series Modellingmentioning
confidence: 99%