Faculty of Administration and Economics / University of Kerbala has discussed a Ph.D. dissertation on Statistics Sciences under the supervision of Prof. Dr. Mahdi Wahhab Nehme.
The dissertation, entitled “A new, fuzzy general impervious Bayesian method for probability distributions”, presented by Bashar Khaled Ali /Department of Statistics. It aims at suggesting a method for converting any traditional probability distribution into a fuzzy probability distribution using the principle of cut-set (𝛼 -cut set) by finding fuzzy cumulative distribution function F ̃(t ̃_(A^(α)) at any value of the cut set t ̃_(A^((α))).
The dissertation concludes that the proposed method is effective in estimating the parameters of probability distribution more accurately than ordinary Bayesian method when the data contains outliers.
