Mohammad Al-Talib

Yarmouk University | YU · Department of Statistics

Inequality measures are very popular in many fields. Nevertheless, samples obtained in many of these fields typically exhibit long tails on both sides which is one of the main characteristics of the symmetric double Pareto distribution. This study concerns developing Bayesian and maximum likelihood estimators of two popular inequality measures, nam...

A semiparametric model is presented utilizing dependence between a response and several covariates. We show that this model is optimum when the marginal distributions of the response and the covariates are known. This model extends the generalized linear model and the proportional likelihood ratio model when the marginal distributions are unknown....

This study introduced the idea of using the novel ranked set sampling scheme for the Monte Carlo integral estimation problem. We proposed and discussed the unidimensional integral problem. It is demonstrated that this approach provides an unbiased and more efficient estimators than the traditional estimators based on simple random sampling. The met...

This paper introduces the idea of using the novel ranked set sampling scheme for estimating the Gini index from continuous distributions. A one dimensional integral estimation problem based on ranked samples was discussed. It is demonstrated by a simple Monte Carlo experiment that this approach provides an unbiased and more efficient Gini index est...

Moving Average process is a representation of a time series written as a finite linear combination of uncorrelated random variables. Our main interest is to compare a classical estimation method; namely Exact Maximum Likelihood Estimation (EMLE) with the Generalized Maximum Entropy (GME) approach for estimating the parameters of the second order mo...