Bayesian method Compard With Some Traditional Techniques in Estimating gumbel distribution Parameters
Publish place: 01st Iranian Statistics Conference
Publish Year: 1371
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISC01_048
تاریخ نمایه سازی: 15 اسفند 1388
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.
Authors
j Hakimi Sibooni
departman of statistics Shahid Chamran University ahvaz.iran