Dynamic reliability estimation in a rank-based design

Abstract

Ranked set sampling (RSS) is a data collection method that allows us to direct attention toward measurements of more representative sample units. This article deals with estimating a time-dependent reliability measure under a generalization of the RSS. Some results concerning optimal properties of the proposed estimator are presented. Monte Carlo simulation is employed to assess performance of the estimator. A sport data set is finally analyzed. © 2019, Wydawnictwo Uniwersytetu Wroclawskiego Sp. z o.o.. All rights reserved.