type-ii progressively censored ranked set sampling

In this paper, the estimation of the exponential parameter via censoredranked set samples (rss) is considered. investigating optimal designs in the maximumlikelihood estimation of exponential parameter via balanced ranked set sampling(brss) could be interesting. in this manuscript, a ranked set sampling design suchas brss under progressively type-ii censoring is applied. finally, via a monte carlosimulation study, some comparisons in terms of mses, biases and standard errors ofproposed estimator have been made in this work. then, the optimal censoring schemescan be discovered.