Bayesian inference of Weibull distribution based on left truncated and right censored data

DOI10.1016/J.CSDA.2016.01.001zbMath1468.62107OpenAlexW2273765385MaRDI QIDQ1659179

Debasis Kundu, Debanjan Mitra

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.01.001

zbMATH Keywords

Fisher information matrixmaximum likelihood estimatorsGibbs samplingprior distributioncredible intervalsposterior analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live? ⋮ Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions ⋮ Analysis of left truncated and right censored competing risks data ⋮ Estimating the parameters of a truncated normal distribution under progressive type II censoring

Cites Work

• Bayesian reliability
• Left truncated and right censored Weibull data and likelihood inference with an illustration
• Analysis of interval-censored data with Weibull lifetime distribution
• A simple algorithm for generating random variates with a log-concave density
• Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
• Likelihood inference for lognormal data with left truncation and right censoring with an illustration
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian Analysis for the Poly-Weibull Distribution
• Applied Bayesian Modelling
• Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data

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