Source: Journal of Time Series Analysis. Unidade: IME
Subjects: REGRESSÃO LINEAR, MODELOS EM SÉRIES TEMPORAIS
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MELO, Moizes e ALENCAR, Airlane Pereira. Conway-Maxwell-Poisson autoregressive moving average model for equidispersed, underdispersed, and overdispersed count data. Journal of Time Series Analysis, v. 41, n. 6, p. 830-857, 2020Tradução . . Disponível em: https://doi.org/10.1111/jtsa.12550. Acesso em: 01 mar. 2026.APA
Melo, M., & Alencar, A. P. (2020). Conway-Maxwell-Poisson autoregressive moving average model for equidispersed, underdispersed, and overdispersed count data. Journal of Time Series Analysis, 41( 6), 830-857. doi:10.1111/jtsa.12550NLM
Melo M, Alencar AP. Conway-Maxwell-Poisson autoregressive moving average model for equidispersed, underdispersed, and overdispersed count data [Internet]. Journal of Time Series Analysis. 2020 ; 41( 6): 830-857.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1111/jtsa.12550Vancouver
Melo M, Alencar AP. Conway-Maxwell-Poisson autoregressive moving average model for equidispersed, underdispersed, and overdispersed count data [Internet]. Journal of Time Series Analysis. 2020 ; 41( 6): 830-857.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1111/jtsa.12550
