Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects (2018)
- Authors:
- USP affiliated authors: ACHCAR, JORGE ALBERTO - FMRP ; OLIVEIRA, RICARDO PUZIOL DE - FMRP
- Unidade: FMRP
- DOI: 10.1285/i20705948v11n1p108
- Subjects: DISTRIBUIÇÃO HIPERGEOMÉTRICA; ESTATÍSTICA APLICADA; ESTATÍSTICA COMPUTACIONAL
- Keywords: Basu-Dhar distribution; Bayesian estimates; Censored data; Covariates; Maximum likelihood estimates
- Language: Inglês
- Imprenta:
- Source:
- Título: Electronic Journal of Applied Statistical Analysis
- ISSN: 2070-5948
- Volume/Número/Paginação/Ano: v. 11, n. 1, p. 108-136, 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects. Electronic Journal of Applied Statistical Analysis, v. 11, n. 1, p. 108-136, 2018Tradução . . Disponível em: https://doi.org/10.1285/i20705948v11n1p108. Acesso em: 28 dez. 2025. -
APA
Oliveira, R. P. de, & Achcar, J. A. (2018). Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects. Electronic Journal of Applied Statistical Analysis, 11( 1), 108-136. doi:10.1285/i20705948v11n1p108 -
NLM
Oliveira RP de, Achcar JA. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 1): 108-136.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1285/i20705948v11n1p108 -
Vancouver
Oliveira RP de, Achcar JA. Basu-Dhar’s bivariate geometric distribution in presence of censored data and covariates: some computational aspects [Internet]. Electronic Journal of Applied Statistical Analysis. 2018 ; 11( 1): 108-136.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1285/i20705948v11n1p108 - Basu-Dhar bivariate geometric distribution
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Informações sobre o DOI: 10.1285/i20705948v11n1p108 (Fonte: oaDOI API)
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