Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto 
; Chen, Charles; Rodrigues, Eliane R.
Source: Communications in Statistics: Case Studies, Data Analysis and Applications. Unidade: FMRP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
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OLIVEIRA, Ricardo Puziol de et al. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points. Communications in Statistics: Case Studies, Data Analysis and Applications, v. 8, n. 2, p. 331-353, 2022Tradução . . Disponível em: https://doi.org/10.1080/23737484.2022.2056546. Acesso em: 12 jun. 2024.APA
Oliveira, R. P. de, Achcar, J. A., Chen, C., & Rodrigues, E. R. (2022). Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points. Communications in Statistics: Case Studies, Data Analysis and Applications, 8( 2), 331-353. doi:10.1080/23737484.2022.2056546NLM
Oliveira RP de, Achcar JA, Chen C, Rodrigues ER. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points [Internet]. Communications in Statistics: Case Studies, Data Analysis and Applications. 2022 ; 8( 2): 331-353.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/23737484.2022.2056546Vancouver
Oliveira RP de, Achcar JA, Chen C, Rodrigues ER. Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points [Internet]. Communications in Statistics: Case Studies, Data Analysis and Applications. 2022 ; 8( 2): 331-353.[citado 2024 jun. 12 ] Available from: https://doi.org/10.1080/23737484.2022.2056546
