Scopus
YÖKSİS Eşleşti
Estimation and Prediction for the Half-Normal Distribution Based on Progressively Type-II Censored Samples
REVSTAT-Statistical Journal · Temmuz 2024
YÖKSİS Kayıtları
Estimation and Prediction for the Half-Normal Distribution Based on Progressively Type-II Censored Samples
Estimation and Prediction for the Half-Normal Distribution Based on Progressively Type-II Censored Samples · 2024 SCI-Expanded
PROFESÖR COŞKUN KUŞ →
Estimation and Prediction for the Half-Normal Distribution based on Progressively Type-II Censored Samples
REVSTAT-Statistical Journal · 2024 SCI-Expanded
ARAŞTIRMA GÖREVLİSİ SÜMEYRA SERT →
Makale Bilgileri
DergiREVSTAT-Statistical Journal
Yayın TarihiTemmuz 2024
Cilt / Sayfa22 · 239-258
Scopus ID2-s2.0-85201552468
Özet
• In this paper, estimation and prediction problems are discussed for the half-normal distribution under a progressively Type-II censoring scheme. This study focuses on two statistical inferential problems. In the first part of the study, several point estimators and confidence intervals are obtained for the scale parameter of the half-normal distribution. In the second part, several predictors and predictive intervals are derived for the removed failure times. A Monte Carlo simulation study is performed to discuss the mean squared error (mean squared prediction errors) and bias of estimates (predictors). The coverage probabilities and average length of the confidence and predictive intervals are simulated and a numerical example is provided.
Yazarlar (5)
1
Sümeyra Sert
ORCID: 0000-0002-4647-1583
2
İhab A.S. Abusaif
ORCID: 0000-0002-6255-1268
3
Ertan Akgenç
ORCID: 0000-0002-9497-6711
4
Kadir Karakaya
5
Coşkun Kuş
Anahtar Kelimeler
• confidence intervals
half-normal distribution
maximum likelihood estimator
Monte Carlo simulation
pivotal estimator
prediction
predictive interval
progressively censoring
uncorrected likelihood ratio
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey