Parameter estimation of exponentiated exponential distribution under selective ranked set sampling

Abstract Partial ranked set sampling (PRSS) is a cost-effective method. It combination of simple random sample (SRS) and (RSS) designs. The PRSS method allows flexibility for the experimenter in selecting when it either difficult to rank units within each with full confidence or experimental are not available. In this article, we introduce define likelihood function any probability distribution under scheme. performance maximum estimators examined available data assumed have an exponentiated exponential (EE) via some selective RSS schemes as well SRS. suggested include PRSS, RSS, neoteric (NRSS), extreme (ERSS). An intensive simulation study was conducted compare explore behaviour proposed estimators. demonstrated that NRSS, ERSS, more efficient than corresponding A real presented illustrative purposes.