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Artigo de periodico
An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data (2021)
Gallardo, Diego I. ; Castro, Mário de ; Gómez, Héctor W
Source: Mathematics. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ALGORITMOS, PROBABILIDADE APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GALLARDO, Diego I. e CASTRO, Mário de e GÓMEZ, Héctor W. An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data. Mathematics, v. 9, n. 15, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.3390/math9151815. Acesso em: 25 jul. 2024.
APA
Gallardo, D. I., Castro, M. de, & Gómez, H. W. (2021). An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data. Mathematics, 9( 15), 1-14. doi:10.3390/math9151815
NLM
Gallardo DI, Castro M de, Gómez HW. An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data [Internet]. Mathematics. 2021 ; 9( 15): 1-14.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/math9151815
Vancouver
Gallardo DI, Castro M de, Gómez HW. An alternative promotion time cure model with overdispersed number of competing causes: an application to melanoma data [Internet]. Mathematics. 2021 ; 9( 15): 1-14.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/math9151815
Artigo de periodico
A regression model for positive data based on the slashed half-normal distribution (2021)
Gomez, Yolanda Magaly ; Mateluna, Diego Ignacio Gallardo ; Castro, Mário de
Source: Revstat Statistical Journal. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMEZ, Yolanda Magaly e MATELUNA, Diego Ignacio Gallardo e CASTRO, Mário de. A regression model for positive data based on the slashed half-normal distribution. Revstat Statistical Journal, v. 19, n. 4, p. 553-573, 2021Tradução . . Disponível em: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf. Acesso em: 25 jul. 2024.
APA
Gomez, Y. M., Mateluna, D. I. G., & Castro, M. de. (2021). A regression model for positive data based on the slashed half-normal distribution. Revstat Statistical Journal, 19( 4), 553-573. Recuperado de https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf
NLM
Gomez YM, Mateluna DIG, Castro M de. A regression model for positive data based on the slashed half-normal distribution [Internet]. Revstat Statistical Journal. 2021 ; 19( 4): 553-573.[citado 2024 jul. 25 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf
Vancouver
Gomez YM, Mateluna DIG, Castro M de. A regression model for positive data based on the slashed half-normal distribution [Internet]. Revstat Statistical Journal. 2021 ; 19( 4): 553-573.[citado 2024 jul. 25 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf
Artigo de periodico
Generalizing normality: different estimation methods for skewed information (2021)
Nascimento, Diego Carvalho do ; Ramos, Pedro Luiz ; Elal-Olivero, David ; Cortes-Araya, Milton; Louzada, Francisco
Source: Symmetry. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA ESTATÍSTICA, MONITORAMENTO AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Diego Carvalho do et al. Generalizing normality: different estimation methods for skewed information. Symmetry, v. 13, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13061067. Acesso em: 25 jul. 2024.
APA
Nascimento, D. C. do, Ramos, P. L., Elal-Olivero, D., Cortes-Araya, M., & Louzada, F. (2021). Generalizing normality: different estimation methods for skewed information. Symmetry, 13, 1-16. doi:10.3390/sym13061067
NLM
Nascimento DC do, Ramos PL, Elal-Olivero D, Cortes-Araya M, Louzada F. Generalizing normality: different estimation methods for skewed information [Internet]. Symmetry. 2021 ; 13 1-16.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/sym13061067
Vancouver
Nascimento DC do, Ramos PL, Elal-Olivero D, Cortes-Araya M, Louzada F. Generalizing normality: different estimation methods for skewed information [Internet]. Symmetry. 2021 ; 13 1-16.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/sym13061067
Artigo de periodico
Spatial statistical models: an overview under the Bayesian approach (2021)
Louzada, Francisco ; Nascimento, Diego Carvalho do ; Egbon, Osafu Augustine
Source: Axioms. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, PROBABILIDADE, ESTATÍSTICA, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e NASCIMENTO, Diego Carvalho do e EGBON, Osafu Augustine. Spatial statistical models: an overview under the Bayesian approach. Axioms, n. 4, p. 1-38, 2021Tradução . . Disponível em: https://doi.org/10.3390/axioms10040307. Acesso em: 25 jul. 2024.
APA
Louzada, F., Nascimento, D. C. do, & Egbon, O. A. (2021). Spatial statistical models: an overview under the Bayesian approach. Axioms, ( 4), 1-38. doi:10.3390/axioms10040307
NLM
Louzada F, Nascimento DC do, Egbon OA. Spatial statistical models: an overview under the Bayesian approach [Internet]. Axioms. 2021 ;( 4): 1-38.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10040307
Vancouver
Louzada F, Nascimento DC do, Egbon OA. Spatial statistical models: an overview under the Bayesian approach [Internet]. Axioms. 2021 ;( 4): 1-38.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10040307
Artigo de periodico
Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world (2021)
Nascimento, Diego Carvalho do ; Pimentel, Bruno Almeida ; Souza, Renata M. C. R; Costa, Lilia; Gonçalves, Sandro; Louzada, Francisco
Source: Chaos, Solitons and Fractals. Unidade: ICMC
Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE DADOS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Diego Carvalho do et al. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world. Chaos, Solitons and Fractals, v. 153, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111440. Acesso em: 25 jul. 2024.
APA
Nascimento, D. C. do, Pimentel, B. A., Souza, R. M. C. R., Costa, L., Gonçalves, S., & Louzada, F. (2021). Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world. Chaos, Solitons and Fractals, 153, 1-14. doi:10.1016/j.chaos.2021.111440
NLM
Nascimento DC do, Pimentel BA, Souza RMCR, Costa L, Gonçalves S, Louzada F. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-14.[citado 2024 jul. 25 ] Available from: https://doi.org/10.1016/j.chaos.2021.111440
Vancouver
Nascimento DC do, Pimentel BA, Souza RMCR, Costa L, Gonçalves S, Louzada F. Dynamic graph in a symbolic data framework: an account of the causal relation using COVID-19 reports and some reflections on the financial world [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-14.[citado 2024 jul. 25 ] Available from: https://doi.org/10.1016/j.chaos.2021.111440
Artigo de periodico
Water particles monitoring in the Atacama desert: SPC approach based on proportional data (2021)
Fonseca, Anderson; Ferreira, Paulo Henrique ; Nascimento, Diego Carvalho do ; Fiaccone, Rosemeire ; Ulloa-Correa, Christopher ; García-Piña, Ayón ; Louzada, Francisco
Source: Axioms. Unidade: ICMC
Subjects: BACIA HIDROGRÁFICA, FUNÇÕES DE BERNOULLI, MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONSECA, Anderson et al. Water particles monitoring in the Atacama desert: SPC approach based on proportional data. Axioms, v. 10, n. 3, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.3390/axioms10030154. Acesso em: 25 jul. 2024.
APA
Fonseca, A., Ferreira, P. H., Nascimento, D. C. do, Fiaccone, R., Ulloa-Correa, C., García-Piña, A., & Louzada, F. (2021). Water particles monitoring in the Atacama desert: SPC approach based on proportional data. Axioms, 10( 3), 1-16. doi:10.3390/axioms10030154
NLM
Fonseca A, Ferreira PH, Nascimento DC do, Fiaccone R, Ulloa-Correa C, García-Piña A, Louzada F. Water particles monitoring in the Atacama desert: SPC approach based on proportional data [Internet]. Axioms. 2021 ; 10( 3): 1-16.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10030154
Vancouver
Fonseca A, Ferreira PH, Nascimento DC do, Fiaccone R, Ulloa-Correa C, García-Piña A, Louzada F. Water particles monitoring in the Atacama desert: SPC approach based on proportional data [Internet]. Axioms. 2021 ; 10( 3): 1-16.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10030154
Artigo de periodico
Is football/soccer purely stochastic, made out of luck, or maybe predictable?: how does Bayesian reasoning assess sports? (2021)
Blanco, Leonardo Barrios; Ferreira, Paulo Henrique ; Louzada, Francisco ; Nascimento, Diego Carvalho do
Source: Axioms. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, FUTEBOL, PROCESSOS DE POISSON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BLANCO, Leonardo Barrios et al. Is football/soccer purely stochastic, made out of luck, or maybe predictable?: how does Bayesian reasoning assess sports?. Axioms, v. 10, n. 4, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/axioms10040276. Acesso em: 25 jul. 2024.
APA
Blanco, L. B., Ferreira, P. H., Louzada, F., & Nascimento, D. C. do. (2021). Is football/soccer purely stochastic, made out of luck, or maybe predictable?: how does Bayesian reasoning assess sports? Axioms, 10( 4), 1-17. doi:10.3390/axioms10040276
NLM
Blanco LB, Ferreira PH, Louzada F, Nascimento DC do. Is football/soccer purely stochastic, made out of luck, or maybe predictable?: how does Bayesian reasoning assess sports? [Internet]. Axioms. 2021 ; 10( 4): 1-17.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10040276
Vancouver
Blanco LB, Ferreira PH, Louzada F, Nascimento DC do. Is football/soccer purely stochastic, made out of luck, or maybe predictable?: how does Bayesian reasoning assess sports? [Internet]. Axioms. 2021 ; 10( 4): 1-17.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/axioms10040276
Artigo de periodico
Bayesian reference analysis for the generalized normal linear regression model (2021)
Tomazella, Vera Lucia Damasceno ; Jesus, Sandra Rêgo ; Gazon, Amanda Buosi ; Louzada, Francisco ; Nadarajah, Saralees ; Nascimento, Diego Carvalho ; Rodrigues, Francisco Aparecido ; Ramos, Pedro Luiz
Source: Symmetry. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAZELLA, Vera Lucia Damasceno et al. Bayesian reference analysis for the generalized normal linear regression model. Symmetry, v. 13, n. 5, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13050856. Acesso em: 25 jul. 2024.
APA
Tomazella, V. L. D., Jesus, S. R., Gazon, A. B., Louzada, F., Nadarajah, S., Nascimento, D. C., et al. (2021). Bayesian reference analysis for the generalized normal linear regression model. Symmetry, 13( 5), 1-20. doi:10.3390/sym13050856
NLM
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/sym13050856
Vancouver
Tomazella VLD, Jesus SR, Gazon AB, Louzada F, Nadarajah S, Nascimento DC, Rodrigues FA, Ramos PL. Bayesian reference analysis for the generalized normal linear regression model [Internet]. Symmetry. 2021 ; 13( 5): 1-20.[citado 2024 jul. 25 ] Available from: https://doi.org/10.3390/sym13050856

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