This article deals with constructing confidence intervals/bands for a distribution function based on censored ranked set samples. Toward this end, a resampling plan is suggested and its validity is investigated. Monte Carlo simulations are used to compare performances of the bootstrap confidence intervals with their asymptotic analogs, and their modifications by jackknife. An environmental data set is finally analyzed.
Asymptotic inference Confidence interval Nonparametric bootstrap Ranked set sampling
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We sincerely thank the reviewers for constructive criticisms and valuable comments, which were of great help in revising the manuscript.
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