Objective Bayesian analysis for Weibull distribution with application to random censorship model

DOI10.1080/00949655.2021.1931210OpenAlexW3172357433MaRDI QIDQ3390447

Muhammad Yameen Danish, Maria Ajmal, Irshad Ahmad Arshad

Publication date: 24 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1931210

zbMATH Keywords

random censorship modelHollander and Proschan goodness-of-fit testJeffreys prior methodreference prior method

Mathematics Subject Classification ID

Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Statistics (62-XX) Reliability and life testing (62N05)

Cites Work

• Objective Bayesian analysis of Pareto distribution under progressive type-II censoring
• Inferences on Weibull parameters with conventional type-I censoring
• Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution
• Reference analysis for Birnbaum-Saunders distribution
• Analysis of Frechet Distribution Using Reference Priors
• Objective Bayesian Analysis for Log-logistic Distribution
• Nonparametric Estimation from Incomplete Observations
• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• Ordered group reference priors with application to the multinomial problem
• Estimating a Product of Means: Bayesian Analysis with Reference Priors
• Bayesian inference for the randomly censored Burr-type XII distribution
• Bayesian inference for the randomly censored Weibull distribution
• Estimation in Maxwell distribution with randomly censored data
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