Şenoğlu, BirdalAkgül, Fatma Gül2021-04-082021-04-082017Akgül, F. G., & Şenoğlu, B. (2017). Inference for the Jones and Faddy’s Skewed t-Distribution based on Progressively Type-II Censored Samples. Gazi University Journal of Science, 30(3), 1-17. Retrieved from https://dergipark.org.tr/tr/pub/gujs/issue/31190/292491https://dergipark.org.tr/tr/pub/gujs/issue/31190/292491https://hdl.handle.net/11494/2968In this paper, the location and the scale parameters of Jones and Faddy’s skewed t (JFST) distribution are estimated based on progressively Type-II censored samples. We obtain maximum likelihood (ML) and modified maximum likelihood (MML) estimators of unknown parameters. Then, confidence intervals for the estimators of ? and ? are obtained. The performances of proposed methodologies are compared via Monte-Carlo simulation study. It is concluded that the ML and MML estimators are close, especially for moderate and large sample sizes. At the end of the study, real life data is analyzed for illustrative proposes.eninfo:eu-repo/semantics/openAccessJFST distributionProgressive censoringModified maximum likelihoodEfficiencyCoverage probabilityArticle303117N/A