تقدير معلمات توزيع الرياح الترابية لمدينة الديوانية

Abstract

This paper compares between maximum likelihood and bayes estimators of scale parameter and reliability (of Rayleigh distribution and the normal distribution) according to actual data of temperature, wind speed and dust ratio of Ad-Diwaniya city from interval 1998 to 2010 of temperature and wind speed and from 1990 to 2008 to dust ratio, The statistical scale used is mean square error and mean absolute percentage error as a base of comparison. it is concluded that bayes  extension estimator when C1=3 is the best in  temperature

(max.,min.) and wind speed, but Maximum likelihood  estimator  is the best in dust ratio.