Inference for the jones and faddy's skewed t-distribution based on progressively type-II censored samples
Yükleniyor...
Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Üniversity
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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 ? 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.
Açıklama
Anahtar Kelimeler
JFST distribution, Progressive censoring, Modified maximum likelihood, Efficiency, Coverage probability
Kaynak
Gazi University Journal of Science
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
30
Sayı
3
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/31190/292491
