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Inference for Two-Parameter Birnbaum–Saunders Distribution Under Joint Progressively Type-II Censored Data

We study inference and prediction for two populations whose lifetimes follow two-parameter Birnbaum–Saunders distributions under a joint progressive Type-II censoring scheme. We derive the observed-data likelihood and obtain maximum likelihood estimates via an EM algorithm that treats progressively...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser: Omar M. Bdair
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-02-01
Schriftenreihe:Mathematics
Schlagworte:
Bayesian estimation and prediction
two-parameter Birnbaum–Saunders distribution
Gibbs and Metropolis sampling
importance sampling
joint progressive censoring sample
maximum likelihood estimation
Online-Zugang:https://www.mdpi.com/2227-7390/14/5/825
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