An extension of the partially linear Rice regression model for bimodal and correlated data (2023)
Vasconcelos, Julio Cezar Souza 
; Ortega, Edwin Moises Marcos ; Vila, Roberto; Cancho, Vicente Garibay
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
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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 nov. 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-BJPS566NLM
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 nov. 27 ] Available from: https://doi.org/10.1214/23-BJPS566Vancouver
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 nov. 27 ] Available from: https://doi.org/10.1214/23-BJPS566
