In treatment comparison experiments, the treatment responses are often correlated with some concomitant variables which can be measured before or at the beginning of the experiments. In this article, we propose schemes for the assignment of experimental units that may greatly improve the efficiency of the comparison in such situations. The proposed schemes are based on general ranked set sampli...

The application of ranked set sampling (RSS) techniques to data from a dichotomous population is currently an active research topic, and it has been shown that balanced RSS leads to improvement in precision over simple random sampling (SRS) for estimation of a population proportion. Balanced RSS, however, is not in general optimal in terms of variance reduction for this setting. The objective o...

Most of estimation methods reported in the literature are based on simple random sampling (SRS), which to certain extent is considerably less effective in estimating the parameters as compared to a new sampling technique, ranked set sampling (RSS) and its modifications. In this Paper we address the problem of Bayesian estimation of the parameters for Weibull distribution, based on ranked set sa...

The extended neoteric ranked set sampling (ENRSS) plan proposed by Taconeli and Cabral has proven to outperform many one stages two plans when estimating the mean variance for different populations. Therefore, in this paper, likelihood function based on ENRSS is used estimation of parameters inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study conducted assess per...

The generalized Bilal (GB) distribution can be defined as the of median three independent random variables drawn from Weibull distribution. Its failure rate function monotonic (decreasing or increasing) upside-down bathtub-shaped. In this study, we aim to reveal some important properties GB that have not been considered before. findings are both theoretical and practical. From viewpoint, presen...