Bayesian method Compard With Some Traditional Techniques in Estimating gumbel distribution Parameters
Publish place: 01st Iranian Statistics Conference
Publish Year: 1371
Type: Conference paper
Language: English
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Document National Code:
ISC01_048
Index date: 6 March 2010
Bayesian method Compard With Some Traditional Techniques in Estimating gumbel distribution Parameters abstract
Maximum Likelihood (MLE), Moments (MON) and Probability Weiighted Moment (PWM) techniques were developed for the estimation of the parameters of Gumbel distribution A Bayesian method for estimation the largest value distribution parameters was also developed. A comparison of the accuracy using Mont Carlo Simulation and advantages of these estimation parameters are given.
Bayesian method Compard With Some Traditional Techniques in Estimating gumbel distribution Parameters authors
j Hakimi Sibooni
departman of statistics Shahid Chamran University ahvaz.iran