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Artigo de periodico
Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models (2020)
Ferreira, Paulo Henrique ; Louzada, Francisco
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: MÉTODOS DE REAMOSTRAGEM, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE MULTIVARIADA, DADOS QUALITATIVOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Paulo Henrique e LOUZADA, Francisco. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, v. 49, n. 6, p. 1375-1401, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1563167. Acesso em: 11 out. 2024.
APA
Ferreira, P. H., & Louzada, F. (2020). Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, 49( 6), 1375-1401. doi:10.1080/03610926.2018.1563167
NLM
Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
Vancouver
Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
Artigo de periodico
Modified slashed generalized exponential distribution (2020)
Astorga, Juan M; Iriarte, Yuri A ; Gómez, Héctor W ; Bolfarine, Heleno
Source: Communications in Statistics - Theory and Methods. Unidade: IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASTORGA, Juan M et al. Modified slashed generalized exponential distribution. Communications in Statistics - Theory and Methods, v. 49, n. 19, p. 4603-4617, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1604959. Acesso em: 11 out. 2024.
APA
Astorga, J. M., Iriarte, Y. A., Gómez, H. W., & Bolfarine, H. (2020). Modified slashed generalized exponential distribution. Communications in Statistics - Theory and Methods, 49( 19), 4603-4617. doi:10.1080/03610926.2019.1604959
NLM
Astorga JM, Iriarte YA, Gómez HW, Bolfarine H. Modified slashed generalized exponential distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 19): 4603-4617.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2019.1604959
Vancouver
Astorga JM, Iriarte YA, Gómez HW, Bolfarine H. Modified slashed generalized exponential distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 19): 4603-4617.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2019.1604959
Artigo de periodico
A flexible procedure for formulating probability distributions on the unit interval with applications (2020)
Rodrigues, Josemar ; Bazán Guzmán, Jorge Luis ; Suzuki, Adriano Kamimura
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO LOGÍSTICA, GEOMETRIA E MODELAGEM COMPUTACIONAL, MATEMÁTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE MULTIVARIADA, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar e BAZÁN GUZMÁN, Jorge Luis e SUZUKI, Adriano Kamimura. A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, v. 49, n. 3, p. 738-754, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549254. Acesso em: 11 out. 2024.
APA
Rodrigues, J., Bazán Guzmán, J. L., & Suzuki, A. K. (2020). A flexible procedure for formulating probability distributions on the unit interval with applications. Communications in Statistics - Theory and Methods, 49( 3), 738-754. doi:10.1080/03610926.2018.1549254
NLM
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Vancouver
Rodrigues J, Bazán Guzmán JL, Suzuki AK. A flexible procedure for formulating probability distributions on the unit interval with applications [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 3): 738-754.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1549254
Artigo de periodico
A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution (2020)
Marcondes, Diego ; Peixoto, Cláudia Monteiro ; Maia, A. C.
Source: Communications in Statistics - Theory and Methods. Unidade: IME
Subjects: ESTATÍSTICA APLICADA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARCONDES, Diego e PEIXOTO, Cláudia Monteiro e MAIA, A. C. A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution. Communications in Statistics - Theory and Methods, v. 49, n. 4, p. 781-808, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1549251. Acesso em: 11 out. 2024.
APA
Marcondes, D., Peixoto, C. M., & Maia, A. C. (2020). A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution. Communications in Statistics - Theory and Methods, 49( 4), 781-808. doi:10.1080/03610926.2018.1549251
NLM
Marcondes D, Peixoto CM, Maia AC. A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 4): 781-808.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1549251
Vancouver
Marcondes D, Peixoto CM, Maia AC. A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 4): 781-808.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2018.1549251
Artigo de periodico
Fractional approaches for the distribution of innovation sequence of INAR(1) processes (2020)
Rodrigues, Josemar ; Bourguignon, Marcelo ; Santos-Neto, Manoel ; Balakrishnan, Narayanaswamy
Source: Communications in Statistics - Theory and Methods. Unidade: ICMC
Subjects: PROBABILIDADE, ANÁLISE DE SÉRIES TEMPORAIS, OPERADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, v. 49, n. 9, p. 2205-2216, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1568492. Acesso em: 11 out. 2024.
APA
Rodrigues, J., Bourguignon, M., Santos-Neto, M., & Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, 49( 9), 2205-2216. doi:10.1080/03610926.2019.1568492
NLM
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
Vancouver
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/03610926.2019.1568492

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