Abstract: The log‐Pearson type 3 (LP3) distribution is recommended in the United States by the Water Resources Council (WRC) as the parent distribution to maximum annual flood series. The parameter estimation technique proposed for ...

Abstract: In this paper we present algorithms based on the acceptance-rejection (A-R), and Markov chain Monte Carlo methods to draw samples from Halphen distributions. Quantiles computed with these generating techniques are compared ...

Abstract: Statistical distributions have often been used to estimate future flood probabilities based on a past record of flood events. To choose such distributions, one study in the United States considered a number of hydrologically ...

Abstract: An experiment on predicting multivariate water resource time series, specifically the prediction of hydropower reservoir inflow using temporal neural networks, is presented. This paper focuses on dynamic neural networks ...

Abstract: Statistical criteria used to evaluate the best distribution fit give large weights to the center of distributions. This is, however, not consistent with the objective of frequency analysis which is to estimate the quantiles ...

Abstract: In flood frequency analysis (FFA), the adequate choice of distribution to fit data is a major problem. The three-parameter lognormal (LN3) distribution has an intermediate tail behavior between the distributions of the ...

Abstract: The main objective of this paper is to develop a new unbiased plotting‐position formula for the Pearson type‐III (P3) distribution. The probabilityweighted moment (PWM) method is used to estimate the exact plotting positions. ...

Abstract: A major issue in real-time management of water resources is the need for accurate and reliable hydrologic forecasts at least 24 or