Inference for the jones and faddy's skewed t-distribution based on progressively type-II censored samples
Künye
Akgül, 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/31190/292491Özet
In 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 μ and σ 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.