Bayesian inference for the pairwise probability of agreement using data from several measurement systems (2021)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1080/08982112.2021.1931317
- Subjects: INFERÊNCIA BAYESIANA; MÉTODOS MCMC; SIMULAÇÃO (ESTATÍSTICA)
- Keywords: Gibbs sampler; limits of agreement; methods comparison; replicates
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Quality Engineering
- ISSN: 0898-2112
- Volume/Número/Paginação/Ano: v. 33, n. 4, p. 571-580, 2021
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, v. 33, n. 4, p. 571-580, 2021Tradução . . Disponível em: https://doi.org/10.1080/08982112.2021.1931317. Acesso em: 14 mar. 2026. -
APA
Castro, M. de, & Galea Rojas, M. J. (2021). Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, 33( 4), 571-580. doi:10.1080/08982112.2021.1931317 -
NLM
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2026 mar. 14 ] Available from: https://doi.org/10.1080/08982112.2021.1931317 -
Vancouver
Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2026 mar. 14 ] Available from: https://doi.org/10.1080/08982112.2021.1931317 - Conditional predictive inference for beta regression model with autoregressive errors
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