Optimal Ranked Set Sampling Design for the Sign Test

The sign test based on ranked set sampling is proposed for testing hypotheses concerning the quantiles of a population characteristic. Both balance and selective designs are considered and the relative performance of different designs is assessed in terms of Pitman's asymptotic relative efficiency. For each quantile, the sampling allocation that maximizes the efficacy of sign statistic is identified and shown to not depend on the population distribution.