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Artigo de periodico
Multilevel ordinal logit models: a proportional odds applications using data from Brazilian higher education institutions (2024)
Souza, Rafael de Freitas ; Lima, Fabiano Guasti ; Corrêa, Hamilton Luiz
Source: Axioms. Unidades: FEARP, FEA
Subjects: ENSINO SUPERIOR, MEDIDAS REPETIDAS, PROBABILIDADE, REGRESSÃO LOGÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Rafael de Freitas e LIMA, Fabiano Guasti e CORRÊA, Hamilton Luiz. Multilevel ordinal logit models: a proportional odds applications using data from Brazilian higher education institutions. Axioms, v. 13, n. 47, p. 1-32, 2024Tradução . . Disponível em: https://www.mdpi.com/2075-1680/13/1/47. Acesso em: 13 maio 2024.
APA
Souza, R. de F., Lima, F. G., & Corrêa, H. L. (2024). Multilevel ordinal logit models: a proportional odds applications using data from Brazilian higher education institutions. Axioms, 13( 47), 1-32. doi:10.3390/axioms13010047
NLM
Souza R de F, Lima FG, Corrêa HL. Multilevel ordinal logit models: a proportional odds applications using data from Brazilian higher education institutions [Internet]. Axioms. 2024 ; 13( 47): 1-32.[citado 2024 maio 13 ] Available from: https://www.mdpi.com/2075-1680/13/1/47
Vancouver
Souza R de F, Lima FG, Corrêa HL. Multilevel ordinal logit models: a proportional odds applications using data from Brazilian higher education institutions [Internet]. Axioms. 2024 ; 13( 47): 1-32.[citado 2024 maio 13 ] Available from: https://www.mdpi.com/2075-1680/13/1/47
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: 13 maio 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 maio 13 ] 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 maio 13 ] Available from: https://doi.org/10.3390/axioms10040307
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: 13 maio 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 maio 13 ] 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 maio 13 ] 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: 13 maio 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 maio 13 ] 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 maio 13 ] Available from: https://doi.org/10.3390/axioms10040276
Artigo de periodico
Optimization models for reaction networks: information divergence, quadratic programming and Kirchhoff’s laws (2014)
Stern, Julio Michael ; Nakano, Fabio
Source: Axioms. Unidades: IME, EACH
Subjects: INFERÊNCIA BAYESIANA, TESTES DE HIPÓTESES, FORMAS QUADRÁTICAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STERN, Julio Michael e NAKANO, Fabio. Optimization models for reaction networks: information divergence, quadratic programming and Kirchhoff’s laws. Axioms, v. 3, n. 1, p. 109-118, 2014Tradução . . Disponível em: https://doi.org/10.3390/axioms3010109. Acesso em: 13 maio 2024.
APA
Stern, J. M., & Nakano, F. (2014). Optimization models for reaction networks: information divergence, quadratic programming and Kirchhoff’s laws. Axioms, 3( 1), 109-118. doi:10.3390/axioms3010109
NLM
Stern JM, Nakano F. Optimization models for reaction networks: information divergence, quadratic programming and Kirchhoff’s laws [Internet]. Axioms. 2014 ; 3( 1): 109-118.[citado 2024 maio 13 ] Available from: https://doi.org/10.3390/axioms3010109
Vancouver
Stern JM, Nakano F. Optimization models for reaction networks: information divergence, quadratic programming and Kirchhoff’s laws [Internet]. Axioms. 2014 ; 3( 1): 109-118.[citado 2024 maio 13 ] Available from: https://doi.org/10.3390/axioms3010109

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