An extension of the partially linear Rice regression model for bimodal and correlated data (2023)
- Authors:
- USP affiliated authors: ORTEGA, EDWIN MOISES MARCOS - ESALQ ; CANCHO, VICENTE GARIBAY - ICMC ; VASCONCELOS, JULIO CEZAR SOUZA - ESALQ
- Unidades: ESALQ; ICMC
- DOI: 10.1214/23-BJPS566
- Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; DISTRIBUIÇÃO LOGÍSTICA; MODELOS MATEMÁTICOS; SIMULAÇÃO (ESTATÍSTICA); VEROSSIMILHANÇA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: São Paulo, SP
- Date published: 2023
- Source:
- Título: Brazilian Journal of Probability and Statistics
- ISSN: 2317-6199
- Volume/Número/Paginação/Ano: v. 37, n. 1, p. 177-194, March 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 27 dez. 2025. -
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566 -
NLM
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1214/23-BJPS566 -
Vancouver
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1214/23-BJPS566 - A new extended log-Weibull regression: simulations and applications
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Informações sobre o DOI: 10.1214/23-BJPS566 (Fonte: oaDOI API)
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