Abstract: Exact extreme value distribution is one of the most important compound distributions which is based on the theory of the maximum of random variable of random numbers. This distribution uses partial duration series (PDS) data to analyze extreme hydrological. This distribution is presented with its properties and graphical representations. Moments (MOM), maximum likelihood (ML) and Bayesian - based on non-informative and informative prior- methods are used to estimate the unknown parameters of the distribution. Markov Chain Monte Carlo (MCMC) technique is used to compute the Bayesian estimates.........
Keywords: Exact extreme value distribution, maximum likelihood, Bayesian estimation, MCMC
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