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Objective bayesian analysis for multiple repairable systems.
D'Andrea, Amanda M E; Tomazella, Vera L D; Aljohani, Hassan M; Ramos, Pedro L; Almeida, Marco P; Louzada, Francisco; Verssani, Bruna A W; Gazon, Amanda B; Afify, Ahmed Z.
Afiliação
  • D'Andrea AME; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.
  • Tomazella VLD; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.
  • Aljohani HM; Department of Mathematics & Statistics, College of Science, Taif University, Taif, Saudi Arabia.
  • Ramos PL; Facultad de Matemáticas, Pontificia Universidad Católica de Chile, Macul, Santiago, Chile.
  • Almeida MP; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.
  • Louzada F; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Verssani BAW; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.
  • Gazon AB; Department of Exact Sciences, University of São Paulo, Piracicaba, Brazil.
  • Afify AZ; Department of Statistics, Federal University of São Carlos, São Carlos, Brazil.
PLoS One ; 16(11): e0258581, 2021.
Article em En | MEDLINE | ID: mdl-34813589
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2021 Tipo de documento: Article