Objective Bayesian analysis of degradation model with respect to a Wiener process
type: Item
instance of: scholarly article
title: Objective Bayesian analysis of degradation model with respect to a Wiener process
zbMATH Open document ID: 1369.62267
author: Lei He
author: Daojiang He
author: Ming Xiang Cao
published in: Journal of Systems Science and Complexity
publication date: 2017-08-25T00:00:00Z
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6764485
zbMATH Keywords: degradation model
zbMATH Keywords: Jeffreys prior
zbMATH Keywords: objective Bayes
zbMATH Keywords: reference prior
describes a project that uses: WinBUGS
describes a project that uses: SPLIDA
MaRDI profile type: Publication
full work available at URL: s11424-016-5201-6
OpenAlex ID: W2560121610
cites work: Accelerated Testing
cites work: Q4211180
cites work: Using Degradation Measures to Estimate a Time-to-Failure Distribution
cites work: Bayesian methods for a growth-curve degradation model with repeated measures
cites work: Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution
cites work: Covariates and random effects in a Gamma process model with application to degradation and failure
cites work: Bayesian Estimation of Degradation Model Defined by a Wiener Process
cites work: The case for objective Bayesian analysis
cites work: Objective Bayesian Analysis for Linear Degradation Models
cites work: Q5674160
cites work: Q5726065
cites work: Posterior distributions for functions of variance components
cites work: Harris recurrence of Metropolis-within-Gibbs and trans-dimensional Markov chains
cites work: Bayesian Modeling Using WinBUGS
cites work: Bayesian Computation with R
cites work: Objective Bayesian Analysis of Spatially Correlated Data
cites work: Selection of the reference priors for a balanced random effects model
DOI: 10.1007/S11424-016-5201-6
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description: scientific article; zbMATH DE number 6764485