Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring

This paper investigates the prediction of unobserved future failure times for the heavy-tailed Log-Logistic distribution under Progressive Type-II censoring. We first develop point and interval estimates for the unknown parameters using both frequentist maximum likelihood and Bayesian approaches. Fo...

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Autori principali:	Ziteng Zhang, Wenhao Gui
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Entropy
Soggetti:	Log-Logistic distribution progressive censoring data bayes estimation bayes prediction MCMC sampling simulation
Accesso online:	https://www.mdpi.com/1099-4300/28/4/466
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