Applied Modeling of Hydrologic Time Series

annual flows annual series annual time series AR(p ARMA models autocorrelation function autoregressive model Boise River Colorado State University computed confidence interval considered correlogram covariance cumulative periodogram determined drought equations estimated parameters estimating the parameters Figure forecast Fort Collins Fourier series given Göta River hydrologic series hydrologic time series independent series instance Jour Lake Michigan-Huron matrix method of moments model correlogram model of Eq model parameters model with periodic models with constant monthly moving average multivariate normal distribution obtained from Eq parameter estimates partial autocorrelation periodic autoregression coefficients periodic mean periodic parameters periodic series periodic standard deviation procedure r₁ random variables reservoir residuals Resour sample mean selected series analysis series modeling skewness coefficient standard deviation stationary statistical characteristics STEP 2c stochastic models stochastic process streamflow synthetic tion transformation type of model variance Water Resources Yevjevich