Iranian Statistical Society Journal of the Iranian Statistical Society 1726-4057 21 2 2022 12 01 Inference on Generalized Inverse Lindley Distribution under Progressive Hybrid Censoring Scheme 21 50 707643 10.22034/jirss.2022.707643 EN Suparna Basu Dept. of Statistics, MMV, Banaras Hindu University Sanjay K. Singh Dept. of Statistics, Institute of Science, Banaras Hindu University Umesh Singh Department of Statistics, Institute of Science, Banaras Hindu University Journal Article 2021 09 24 This article delineates the implementation of the product of spacings under Progressive Hybrid Type-I censoring with binomial removals for the Generalized Inverse Lindley distribution. Both point and interval estimates of the parameters have been obtained under classical as well as Bayesian paradigms using the product of spacings. The proposed estimators can be used in lieu of maximum likelihood as well as usual Bayes estimator based on likelihood function which is corroborated by a comparative simulation study. The Bayesian estimation is performed under the assumption of squared error loss function. The implicit integrals involved in the process are evaluated using Metropolis-Hastings algorithm within Gibbs sampler. We have also derived the expected total time to test statistic for the specified censoring scheme. The applicability of the proposed methodology is demonstrated by analyzing a real data set of active repair times for an airborne communication transceiver. https://jirss.irstat.ir/article_707643_7ef0cbc4d4d3c3d74d3f0036b75bc0c4.pdf