A new log-location regression model: estimation, influence diagnostics and residual analysis (2016)
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS
ABNT
PESCIM, Rodrigo R et al. A new log-location regression model: estimation, influence diagnostics and residual analysis. Journal of Applied Statistics, v. 44, n. 2, p. 233-252, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1168368. Acesso em: 17 out. 2024.APA
Pescim, R. R., Ortega, E. M. M., Cordeiro, G. M., & Alizadeh, M. (2016). A new log-location regression model: estimation, influence diagnostics and residual analysis. Journal of Applied Statistics, 44( 2), 233-252. doi:10.1080/02664763.2016.1168368NLM
Pescim RR, Ortega EMM, Cordeiro GM, Alizadeh M. A new log-location regression model: estimation, influence diagnostics and residual analysis [Internet]. Journal of Applied Statistics. 2016 ; 44( 2): 233-252.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1168368Vancouver
Pescim RR, Ortega EMM, Cordeiro GM, Alizadeh M. A new log-location regression model: estimation, influence diagnostics and residual analysis [Internet]. Journal of Applied Statistics. 2016 ; 44( 2): 233-252.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1168368