May 6, 2024
Saeid Tahmasebi

Saeid Tahmasebi

Academic Rank: Associate professor
Address: Department of Statistics , Persian Gulf University , Iran
Degree: Ph.D in Statistics
Phone: 077-31223329
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Estimators for the parameter mean of Morgenstern type bivariate generalized exponential distribution using ranked set sampling
Type Article
Keywords
Concomitants of order statistics, Morgenstern type bivariate generalized exponential distribution, ranked set sampling
Journal SORT-Statistics and Operations Research Transactions
DOI 10.2436/20.8080.02.9
Researchers Saeid Tahmasebi (First researcher) , Ali Akbar Jafari (Second researcher)

Abstract

In situations where the sampling units in a study can be more easily ranked based on the measurement of an auxiliary variable, ranked set sampling provides unbiased estimators for the mean of a population that are more efficient than unbiased estimators based on simple random sampling. In this paper, we consider the Morgenstern type bivariate generalized exponential distribution and obtain several unbiased estimators for the mean parameter of its marginal distribution, based on different ranked set sampling schemes. The efficiency of all considered estimators are evaluated and several numerical illustrations are given.