Semi-parametric Bayesian models for heterogeneous degradation data: An application to laser data-Reference-Cited by-同舟云学术

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Semi-parametric Bayesian models for heterogeneous degradation data: An application to laser data

Published:2020-10 Issue: Volume:202 Page:107038
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Santos Cristiano C.,Loschi Rosangela H.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Pró-Reitoria de Pesquisa, Universidade Federal de Minas Gerais

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference39 articles.

1. Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems;Antoniak;Ann Stat,1974

2. A class of distributions which includes the normal ones;Azzalini;Scand J Stat,1985

3. Bayesian nonparametric location–scale–shape mixtures;Canale;TEST,2016

4. Nonparametric Bayesian lifetime data analysis using Dirichlet process lognormal mixture model;Cheng;Nav Res Logist,2013

5. Bayesian density estimation and inference using mixtures;Escobar;J Am Stat Assoc,1995

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