Non-homogeneous Poisson and linear regression models as approaches to study time series with change-points (2022)
- Authors:
- Autor USP: ACHCAR, JORGE ALBERTO - FMRP
- Unidade: FMRP
- DOI: 10.1080/23737484.2022.2056546
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; DISTRIBUIÇÃO DE POISSON; INFERÊNCIA BAYESIANA; REGRESSÃO LINEAR
- Keywords: Count time series; Linear regression model in the presence of change-points; Nonhomogeneous Poisson process in the presence of change-points; Power law process; Bayesian inference
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2022
- Source:
- Título: Communications in Statistics: Case Studies, Data Analysis and Applications
- ISSN: 2373-7484
- Volume/Número/Paginação/Ano: v. 8, n. 2, p. 331-353, 2022
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
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: 04 abr. 2026. -
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:10.1080/23737484.2022.2056546 -
NLM
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 2026 abr. 04 ] Available from: https://doi.org/10.1080/23737484.2022.2056546 -
Vancouver
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 2026 abr. 04 ] Available from: https://doi.org/10.1080/23737484.2022.2056546 - O perfil do trabalhador e sua relação com a ocorrência de atos inseguros:: o caso de maquinistas de trens de uma empresa de logística
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