Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data (2022)
- Authors:
- USP affiliated authors: ACHCAR, JORGE ALBERTO - FMRP ; MARTINEZ, EDSON ZANGIACOMI - FMRP
- Unidade: FMRP
- DOI: 10.1285/i20705948v15n1p50
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; DADOS CENSURADOS; VEROSSIMILHANÇA; INFERÊNCIA BAYESIANA
- Keywords: Survival analysis; Censored data; Sibuya distribution; Maximum likelihood estimation; Bayesian inference
- Language: Inglês
- Imprenta:
- Publisher place: Via di Valesio
- Date published: 2022
- Source:
- Título: Electronic Journal Of Applied Statistical Analysis
- ISSN: 2070-5948
- Volume/Número/Paginação/Ano: v. 15, n. 1, p. 50-74, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FREITAS, Bruno Caparroz Lopes de et al. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data. Electronic Journal Of Applied Statistical Analysis, v. 15, n. 1, p. 50-74, 2022Tradução . . Disponível em: https://doi.org/10.1285/i20705948v15n1p50. Acesso em: 12 jan. 2026. -
APA
Freitas, B. C. L. de, Peres, M. V. de O., Achcar, J. A., & Martinez, E. Z. (2022). Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data. Electronic Journal Of Applied Statistical Analysis, 15( 1), 50-74. doi:10.1285/i20705948v15n1p50 -
NLM
Freitas BCL de, Peres MV de O, Achcar JA, Martinez EZ. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data [Internet]. Electronic Journal Of Applied Statistical Analysis. 2022 ; 15( 1): 50-74.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1285/i20705948v15n1p50 -
Vancouver
Freitas BCL de, Peres MV de O, Achcar JA, Martinez EZ. Bayesian and maximum likelihood inference approaches for the discrete generalized Sibuya distribution with censored data [Internet]. Electronic Journal Of Applied Statistical Analysis. 2022 ; 15( 1): 50-74.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1285/i20705948v15n1p50 - Algumas considerações práticas sobre a precisão dos estimadores de mínimos quadrados e máxima verossimilhança para os parâmetros de regressão linear normal
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Informações sobre o DOI: 10.1285/i20705948v15n1p50 (Fonte: oaDOI API)
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