Akgül, Fatma GülAcıtaş, ŞükrüŞenoğlu, Birdal2021-03-262021-03-262018Akgül, F. G., Acıtaş, Ş., & Şenoğlu, B. (2018). Inferences on stress–strength reliability based on ranked set sampling data in case of Lindley distribution. Journal of Statistical Computation and Simulation, 88(15), 3018-3032.https://doi.org/10.1080/00949655.2018.1498095https://hdl.handle.net/11494/2827In this study, we consider point and interval estimation of stress-strength reliability R = P(X < Y) based on ranked set sampling when the distribution of the stress and the strength are both Lindley. Firstly, maximum likelihood (ML) estimator of R is obtained. Then, we find asymptotic distribution of ML estimator of R to construct the asymptotic confidence interval. Furthermore, bootstrap confidence intervals of R are constructed using two different resampling methods. The performances of proposed methods are compared with their simple random sampling counterparts via an extensive Monte-Carlo simulation study. At the end of the study, a real data set is analysed for illustrative purposes.eninfo:eu-repo/semantics/closedAccessStress-strength reliabilityRanked set samplingLindley distributionEstimationMonte-Carlo simulationArticle88153018303210.1080/00949655.2018.1498095Q2N/A