Regression modeling of censored data based on compound scale mixtures of normal distributions (2023)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- DOI: 10.1214/22-BJPS551
- Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
- Keywords: Censored regression model; EM-type Algorithms; finite mixture models; heavy-tails distributions; limit of detection; Tobit model
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Brazilian Journal of Probability and Statistics
- ISSN: 0103-0752
- Volume/Número/Paginação/Ano: v. 37, n. 2, p. 282-312, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BENITES, Luis et al. Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 282-312, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS551. Acesso em: 25 jan. 2026. -
APA
Benites, L., Zeller, C. B., Bolfarine, H., & Lachos, V. H. (2023). Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, 37( 2), 282-312. doi:10.1214/22-BJPS551 -
NLM
Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1214/22-BJPS551 -
Vancouver
Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2026 jan. 25 ] Available from: https://doi.org/10.1214/22-BJPS551 - Comparing consistent estimators in comparative calibration models
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Informações sobre o DOI: 10.1214/22-BJPS551 (Fonte: oaDOI API)
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