Silva, Alejandra Andrea Tapia 
; Giampaoli, Viviana ; Diaz, Maria del Pilar ; Leiva-Sanchez, Victor
Fonte: Journal of Applied Statistics. Unidade: IME
Assuntos: MÉTODO DE MONTE CARLO, PROCESSOS DE POISSON, BIOESTATÍSTICA
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SILVA, Alejandra Andrea Tapia et al. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, v. 46, n. 6, p. 1021-1042, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1531978. Acesso em: 13 nov. 2025.APA
Silva, A. A. T., Giampaoli, V., Diaz, M. del P., & Leiva-Sanchez, V. (2019). Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, 46( 6), 1021-1042. doi:10.1080/02664763.2018.1531978NLM
Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/02664763.2018.1531978Vancouver
Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
