Efficient Estimation of Two-Parameter Xgamma Distribution Parameters Using Ranked Set Sampling Design

An efficient method such as ranked set sampling is used for estimating the population parameters when actual observation measurement expensive and complicated. In this paper, we consider problem of two-parameter xgamma (TPXG) distribution under well simple random design. Various estimation methods, including weighted least-square estimator, maximum likelihood estimators, Cramer–von Mises, product spacings Anderson–Darling are considered. A comparison between with same number units, conducted using a simulation study in terms bias, mean squared errors, efficiency estimators. The merit estimators examined real data bank customers. results indicate that estimations more than competitor considered study.