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Artigo de periodico
Use of a discrete Sushila distribution in the analysis of right-censored lifetime data (2019)
Oliveira, Ricardo Puziol de ; Peres, Marcos Vinícius de Oliveira ; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Source: Model Assisted Statistics and Applications. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO (ESTATÍSTICA), MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, v. 14, n. 3, p. 255-268, 2019Tradução . . Disponível em: https://doi.org/10.3233/mas-190465. Acesso em: 24 nov. 2025.
APA
Oliveira, R. P. de, Peres, M. V. de O., Martinez, E. Z., & Achcar, J. A. (2019). Use of a discrete Sushila distribution in the analysis of right-censored lifetime data. Model Assisted Statistics and Applications, 14( 3), 255-268. doi:10.3233/mas-190465
NLM
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2025 nov. 24 ] Available from: https://doi.org/10.3233/mas-190465
Vancouver
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. Use of a discrete Sushila distribution in the analysis of right-censored lifetime data [Internet]. Model Assisted Statistics and Applications. 2019 ; 14( 3): 255-268.[citado 2025 nov. 24 ] Available from: https://doi.org/10.3233/mas-190465
Artigo de periodico
Electromagnetic energy stored in inhomogeneous scattering systems (2017)
Arruda, Tiago J.; Pinheiro, Felipe A.; Martinez, Alexandre Souto
Source: Journal of the Optical Society of America A. Unidade: FFCLRP
Subjects: ESPALHAMENTO, TEORIA DO ESPALHAMENTO, ÓPTICA NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARRUDA, Tiago J. e PINHEIRO, Felipe A. e MARTINEZ, Alexandre Souto. Electromagnetic energy stored in inhomogeneous scattering systems. Journal of the Optical Society of America A, v. 34, n. 10, p. 1934-1939, 2017Tradução . . Disponível em: https://doi.org/10.1364/josaa.34.001934. Acesso em: 24 nov. 2025.
APA
Arruda, T. J., Pinheiro, F. A., & Martinez, A. S. (2017). Electromagnetic energy stored in inhomogeneous scattering systems. Journal of the Optical Society of America A, 34( 10), 1934-1939. doi:10.1364/josaa.34.001934
NLM
Arruda TJ, Pinheiro FA, Martinez AS. Electromagnetic energy stored in inhomogeneous scattering systems [Internet]. Journal of the Optical Society of America A. 2017 ; 34( 10): 1934-1939.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1364/josaa.34.001934
Vancouver
Arruda TJ, Pinheiro FA, Martinez AS. Electromagnetic energy stored in inhomogeneous scattering systems [Internet]. Journal of the Optical Society of America A. 2017 ; 34( 10): 1934-1939.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1364/josaa.34.001934
Artigo de periodico
Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants (2017)
González-Durruthy, Michael; Alberici, Luciane C.; Curti, Carlos; Naal, Zeki; Sawazaki, David Tatsuo A; Vázquez-Naya, José M.; González-Díaz, Humberto; Munteanu, Cristian R.
Source: Journal of Chemical Information and Modeling. Unidade: FCFRP
Subjects: ENTROPIA, REGRESSÃO LINEAR, MITOCÔNDRIAS, NANOTUBOS DE CARBONO, BIOMEDICINA, OXIGÊNIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONZÁLEZ-DURRUTHY, Michael et al. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, v. 57, n. 5, p. 1029-1044, 2017Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.6b00458. Acesso em: 24 nov. 2025.
APA
González-Durruthy, M., Alberici, L. C., Curti, C., Naal, Z., Sawazaki, D. T. A., Vázquez-Naya, J. M., et al. (2017). Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, 57( 5), 1029-1044. doi:10.1021/acs.jcim.6b00458
NLM
González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458
Vancouver
González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

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