Maximum likelihood estimation in location-scale families using varied L ranked set sampling

Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses several existing RSS schemes, namely varied L (VLRSS), and it provides more precise estimators of the population mean than with traditional simple random (SRS) schemes. In this paper, we extend work consider maximum likelihood (MLEs) location scale parameters when from location-scale family distributions. order to give insight into performance VLRSS respect SRS asymptotic relative precisions MLEs using that are compared for some usual It turns out those