Titlebook: Advances in the Statistical Sciences: Stochastic Hydrology; Volume IV Festschrif Ian B. MacNeill,Gary J. Umphrey,A. Ian McLeod Book 1987 D.

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https://doi.org/10.1007/978-1-4612-6239-8ic autoregressive (PAR) models are reviewed. These techniques are then used for fitting PAR and deseasonalized ARMA models to three specific monthly riverflow time series. The Akaike information criterion (AIC) and Bayes information criterion (BIC) suggest the PAR model provides the best fit. Split-

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Contemporary Issues in Biomedical Ethicstual reservoirs of the Nash type. The particular stochastic differential equation studied herein is derived from the mass balance equation stated for a single reservoir by representing the input term, as well as the environmental (external) parameters within it, as white stationary stochastic proces

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Contemporary Issues in Biomedical Ethicslems. Equations are treated as abstract stochastic evolution equations for elliptic partial differential operators in an appropriate functional Sobolev space. Explicit forms of solutions are obtained by using the strongly continuous semigroup of the partial differential operator. Application of the

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Mary Elizabeth Rauktis,Tammy L. Thomas various authors have noted that the potential of nonparametric probability density estimation is not being fully realized (Scott and Factor, 1981; Yakowitz, 1985). In hydrology nonparametric techniques offer promise as they appear to be powerful while making few assumptions regarding underlying dis

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Helen Cahalane,Carol M. Andersonribution to a set of observations of annual maxima. The choice of the probability distribution is often based on asymptotic results. We investigate this model selection criterion through evaluation of the errors in estimating of .(.) for a Markovian daily flow stochastic process..The design of spill

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