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 Bayesian Estimation of Morgenstern Type Bivariate Rayleigh Distribution using Some Types of Ranked Set Sampling
Type Article
Keywords
Bayesian estimation; Concomitant, ranked set sampling Extreme ranked set sampling, Maximum ranked set sampling and Rayleigh distribution.
Journal Revista Colombiana de Estadistica
DOI http://doi.org/10.15446/rce.v44n2.87825
Researchers Fazlollah Lak (Second researcher) , Saeid Tahmasebi (Third researcher)

Abstract

In this paper we consider Bayesian estimation based on bivariate ranked set sample, in which units are ranked based on measurements made on an easily and exactly measurable auxiliary variable X which is correlated with the study variable Y . We obtain Bayes estimator for the scale parameter of the study variate Y , when (X, Y ) follows a Morgenstern type bivariate Rayleigh distribution. The Bayes estimators are considered based on bivariate ranked set sampling, extreme ranked set sampling and maximum ranked set sampling with unequal sample. The accuracy of estimation methods in this paper is illustrated using simulation study. Finally, a real data set is analyzed.