Modelling asymmetric data by using the log-gamma-normal regression model (2022)
Source: Mathematics. Unidade: IME
Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS
ABNT
TOVAR-FALÓN, Roger e MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno. Modelling asymmetric data by using the log-gamma-normal regression model. Mathematics, v. 10, n. artigo 1199, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.3390/math10071199. Acesso em: 16 nov. 2024.APA
Tovar-Falón, R., Martínez-Flórez, G., & Bolfarine, H. (2022). Modelling asymmetric data by using the log-gamma-normal regression model. Mathematics, 10( artigo 1199), 1-16. doi:10.3390/math10071199NLM
Tovar-Falón R, Martínez-Flórez G, Bolfarine H. Modelling asymmetric data by using the log-gamma-normal regression model [Internet]. Mathematics. 2022 ; 10( artigo 1199): 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math10071199Vancouver
Tovar-Falón R, Martínez-Flórez G, Bolfarine H. Modelling asymmetric data by using the log-gamma-normal regression model [Internet]. Mathematics. 2022 ; 10( artigo 1199): 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math10071199