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Artigo de periodico
On dealing with the unknown population minimum in parametric inference (2023)
Saldanha, Matheus Henrique Junqueira ; Suzuki, Adriano Kamimura
Source: Advances in Statistical Analysis. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: SIMULAÇÃO, VEROSSIMILHANÇA, INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALDANHA, Matheus Henrique Junqueira e SUZUKI, Adriano Kamimura. On dealing with the unknown population minimum in parametric inference. Advances in Statistical Analysis, v. 107, p. 509-535, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10182-022-00445-9. Acesso em: 12 set. 2024.
APA
Saldanha, M. H. J., & Suzuki, A. K. (2023). On dealing with the unknown population minimum in parametric inference. Advances in Statistical Analysis, 107, 509-535. doi:10.1007/s10182-022-00445-9
NLM
Saldanha MHJ, Suzuki AK. On dealing with the unknown population minimum in parametric inference [Internet]. Advances in Statistical Analysis. 2023 ; 107 509-535.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s10182-022-00445-9
Vancouver
Saldanha MHJ, Suzuki AK. On dealing with the unknown population minimum in parametric inference [Internet]. Advances in Statistical Analysis. 2023 ; 107 509-535.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s10182-022-00445-9
Artigo de periodico
Flexible models for non‑equidispersed count data: comparative performance of parametric models to deal with underdispersion (2022)
Toledo, Douglas; Umetsu, Cristiane Akemi; Camargo, Antonio Fernando Monteiro; Lara, Idemauro Antonio Rodrigues de
Source: AStA Advances in Statistical Analysis. Unidade: ESALQ
Subjects: DADOS DE CONTAGEM, DISTRIBUIÇÃO DE POISSON, INFERÊNCIA PARAMÉTRICA, INVASÃO BIOLÓGICA, MACRÓFITAS, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Douglas et al. Flexible models for non‑equidispersed count data: comparative performance of parametric models to deal with underdispersion. AStA Advances in Statistical Analysis, p. 1-25, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10182-021-00432-6. Acesso em: 12 set. 2024.
APA
Toledo, D., Umetsu, C. A., Camargo, A. F. M., & Lara, I. A. R. de. (2022). Flexible models for non‑equidispersed count data: comparative performance of parametric models to deal with underdispersion. AStA Advances in Statistical Analysis, 1-25. doi:10.1007/s10182-021-00432-6
NLM
Toledo D, Umetsu CA, Camargo AFM, Lara IAR de. Flexible models for non‑equidispersed count data: comparative performance of parametric models to deal with underdispersion [Internet]. AStA Advances in Statistical Analysis. 2022 ; 1-25.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s10182-021-00432-6
Vancouver
Toledo D, Umetsu CA, Camargo AFM, Lara IAR de. Flexible models for non‑equidispersed count data: comparative performance of parametric models to deal with underdispersion [Internet]. AStA Advances in Statistical Analysis. 2022 ; 1-25.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s10182-021-00432-6
Artigo de periodico
Estimation of component reliability from superposed renewal processes by means of latent variables (2022)
Rodrigues, Agatha Sacramento ; Kerschke, Pascal; Pereira, Carlos Alberto de Bragança ; Trautmann, Heike; Wagner, Carolin; Hellingrath, Bernd; Polpo, Adriano
Source: Computational Statistics. Unidade: IME
Subjects: ESTATÍSTICA COMPUTACIONAL, INFERÊNCIA PARAMÉTRICA, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Agatha Sacramento et al. Estimation of component reliability from superposed renewal processes by means of latent variables. Computational Statistics, v. 37, n. 1, p. 355-379, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00180-021-01124-0. Acesso em: 12 set. 2024.
APA
Rodrigues, A. S., Kerschke, P., Pereira, C. A. de B., Trautmann, H., Wagner, C., Hellingrath, B., & Polpo, A. (2022). Estimation of component reliability from superposed renewal processes by means of latent variables. Computational Statistics, 37( 1), 355-379. doi:10.1007/s00180-021-01124-0
NLM
Rodrigues AS, Kerschke P, Pereira CA de B, Trautmann H, Wagner C, Hellingrath B, Polpo A. Estimation of component reliability from superposed renewal processes by means of latent variables [Internet]. Computational Statistics. 2022 ; 37( 1): 355-379.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s00180-021-01124-0
Vancouver
Rodrigues AS, Kerschke P, Pereira CA de B, Trautmann H, Wagner C, Hellingrath B, Polpo A. Estimation of component reliability from superposed renewal processes by means of latent variables [Internet]. Computational Statistics. 2022 ; 37( 1): 355-379.[citado 2024 set. 12 ] Available from: https://doi.org/10.1007/s00180-021-01124-0
Tese (Doutorado)
A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway. (2022)
Zago, Larius; Simos, Alexandre Nicolaos (Orientador) ; Kawano, Alexandre (coorient)
Unidade: EP
Subjects: INFERÊNCIA PARAMÉTRICA, DINÂMICA, NAVIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZAGO, Larius. A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway. 2022. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3135/tde-19052022-074953/. Acesso em: 12 set. 2024.
APA
Zago, L. (2022). A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway. (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3135/tde-19052022-074953/
NLM
Zago L. A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway. [Internet]. 2022 ;[citado 2024 set. 12 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3135/tde-19052022-074953/
Vancouver
Zago L. A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway. [Internet]. 2022 ;[citado 2024 set. 12 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3135/tde-19052022-074953/
Artigo de periodico
Hypothesis testing in the unrestricted and restricted parametric spaces of structural models (2007)
Barros, Michelli; Giampaoli, Viviana ; Lima, Claudia Regina O. de Paiva
Source: Computational Statistics & Data Analysis. Unidade: IME
Subjects: TESTES DE HIPÓTESES, INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Michelli e GIAMPAOLI, Viviana e LIMA, Claudia Regina O. de Paiva. Hypothesis testing in the unrestricted and restricted parametric spaces of structural models. Computational Statistics & Data Analysis, v. 52, n. 2, p. 1196-1207, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2007.05.022. Acesso em: 12 set. 2024.
APA
Barros, M., Giampaoli, V., & Lima, C. R. O. de P. (2007). Hypothesis testing in the unrestricted and restricted parametric spaces of structural models. Computational Statistics & Data Analysis, 52( 2), 1196-1207. doi:10.1016/j.csda.2007.05.022
NLM
Barros M, Giampaoli V, Lima CRO de P. Hypothesis testing in the unrestricted and restricted parametric spaces of structural models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1196-1207.[citado 2024 set. 12 ] Available from: https://doi.org/10.1016/j.csda.2007.05.022
Vancouver
Barros M, Giampaoli V, Lima CRO de P. Hypothesis testing in the unrestricted and restricted parametric spaces of structural models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1196-1207.[citado 2024 set. 12 ] Available from: https://doi.org/10.1016/j.csda.2007.05.022

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