Source: International Journal of Business Intelligence and Data Mining. Unidades: FEARP, FEA
Subjects: DADOS DE CONTAGEM, R (SOFTWARE ESTATÍSTICO)
ABNT
SOUZA, Rafael de Freitas et al. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining, v. 20, n. 3, p. 327-344, 2022Tradução . . Acesso em: 11 jun. 2024.APA
Souza, R. de F., Fávero, L. P. L., Belfiore, P., & Corrêa, H. L. (2022). Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining, 20( 3), 327-344. doi:10.1504/IJBIDM.2022.122157NLM
Souza R de F, Fávero LPL, Belfiore P, Corrêa HL. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining. 2022 ; 20( 3): 327-344.[citado 2024 jun. 11 ]Vancouver
Souza R de F, Fávero LPL, Belfiore P, Corrêa HL. Overdisp: an R package for direct detection of overdispersion in count data multiple regression analysis. International Journal of Business Intelligence and Data Mining. 2022 ; 20( 3): 327-344.[citado 2024 jun. 11 ]