Bayesian inference of Weibull distribution based on left truncated and right censored data
type: Item
instance of: scholarly article
title: Bayesian inference of Weibull distribution based on left truncated and right censored data
zbMATH Open document ID: 1468.62107
author: Debasis Kundu
author: Debanjan Mitra
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 6918373
zbMATH Keywords: Fisher information matrix
zbMATH Keywords: maximum likelihood estimators
zbMATH Keywords: Gibbs sampling
zbMATH Keywords: prior distribution
zbMATH Keywords: posterior analysis
zbMATH Keywords: credible intervals
MaRDI profile type: Publication
full work available at URL: j.csda.2016.01.001
OpenAlex ID: W2273765385
cites work: Likelihood inference for lognormal data with left truncation and right censoring with an illustration
cites work: Left truncated and right censored Weibull data and likelihood inference with an illustration
cites work: Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data
cites work: Bayesian Analysis for the Poly-Weibull Distribution
cites work: Applied Bayesian Modelling
cites work: A simple algorithm for generating random variates with a log-concave density
cites work: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
cites work: Bayesian reliability
cites work: Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
cites work: Analysis of interval-censored data with Weibull lifetime distribution
DOI: 10.1016/J.CSDA.2016.01.001
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description: scientific article; zbMATH DE number 6918373