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  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: VEROSSIMILHANÇA, ESTATÍSTICA SUFICIENTE, INFERÊNCIA ESTATÍSTICA

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      GALEA ROJAS, Manuel Jesus e CASTRO, Mário de. Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, v. 243, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.105005. Acesso em: 23 fev. 2024.
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      Galea Rojas, M. J., & Castro, M. de. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, 243, 1-6. doi:10.1016/j.chemolab.2023.105005
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      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
    • Vancouver

      Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
  • Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      OLMOS, Isaac Esteban Cortés e CASTRO, Mário de e MATELUNA, Diego Ignacio Gallardo. A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2203882. Acesso em: 23 fev. 2024.
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      Olmos, I. E. C., Castro, M. de, & Mateluna, D. I. G. (2023). A new family of quantile regression models applied to nutritional data. Journal of Applied Statistics. doi:10.1080/02664763.2023.2203882
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      Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2023 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
    • Vancouver

      Olmos IEC, Castro M de, Mateluna DIG. A new family of quantile regression models applied to nutritional data [Internet]. Journal of Applied Statistics. 2023 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/02664763.2023.2203882
  • Source: Communications in Statistics - Theory and Methods. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE MULTIVARIADA, DADOS DE CONTAGEM, DISTRIBUIÇÃO BINOMIAL, MODELOS MATEMÁTICOS

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      FABIO, Lizandra C et al. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion. Communications in Statistics - Theory and Methods, v. 52, n. 6, p. 1833-1853, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1939380. Acesso em: 23 fev. 2024.
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      Fabio, L. C., Villegas, C., Carrasco, J. M. F., & Castro, M. de. (2023). Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion. Communications in Statistics - Theory and Methods, 52( 6), 1833-1853. doi:10.1080/03610926.2021.1939380
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      Fabio LC, Villegas C, Carrasco JMF, Castro M de. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 6): 1833-1853.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/03610926.2021.1939380
    • Vancouver

      Fabio LC, Villegas C, Carrasco JMF, Castro M de. Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 6): 1833-1853.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/03610926.2021.1939380
  • Source: Computational Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA

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      OLIVEIRA, Eduardo Schneider Bueno de et al. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler. Computational Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01297-2. Acesso em: 23 fev. 2024.
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      Oliveira, E. S. B. de, Castro, M. de, Bayes, C., & Guzmán, J. L. B. (2022). Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler. Computational Statistics. doi:10.1007/s00180-022-01297-2
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      Oliveira ESB de, Castro M de, Bayes C, Guzmán JLB. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler [Internet]. Computational Statistics. 2022 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s00180-022-01297-2
    • Vancouver

      Oliveira ESB de, Castro M de, Bayes C, Guzmán JLB. Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler [Internet]. Computational Statistics. 2022 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s00180-022-01297-2
  • Source: Journal of Statistical Computation and Simulation. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO, ENSAIO CLÍNICO

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      SILVA, Josimara Tatiane da e COBRE, Juliana e CASTRO, Mário de. New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, v. 92, n. 5, p. 957-973, 2022Tradução . . Disponível em: https://doi.org/10.1080/00949655.2021.1981325. Acesso em: 23 fev. 2024.
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      Silva, J. T. da, Cobre, J., & Castro, M. de. (2022). New Bayesian approaches to equivalence testing. Journal of Statistical Computation and Simulation, 92( 5), 957-973. doi:10.1080/00949655.2021.1981325
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      Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
    • Vancouver

      Silva JT da, Cobre J, Castro M de. New Bayesian approaches to equivalence testing [Internet]. Journal of Statistical Computation and Simulation. 2022 ; 92( 5): 957-973.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/00949655.2021.1981325
  • Source: Journal of Chemical Education. Unidades: ICMC, IQSC

    Subjects: QUÍMICA, ENSINO MÉDIO, APRENDIZAGEM, PÓS-GRADUAÇÃO, PESQUISA

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      FERREIRA, Daniele Marcondes et al. Implementation of Inquiry-Based Science in the Classroom and Its Repercussion on the Motivation to Learn Chemistry. Journal of Chemical Education, v. 99, p. 578−591, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jchemed.1c00287. Acesso em: 23 fev. 2024.
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      Ferreira, D. M., Sentanin, F. C., Parra, K. N., Bonini, V. M. N., Castro, M. de, & Kasseboehmer, A. C. (2022). Implementation of Inquiry-Based Science in the Classroom and Its Repercussion on the Motivation to Learn Chemistry. Journal of Chemical Education, 99, 578−591. doi:10.1021/acs.jchemed.1c00287
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      Ferreira DM, Sentanin FC, Parra KN, Bonini VMN, Castro M de, Kasseboehmer AC. Implementation of Inquiry-Based Science in the Classroom and Its Repercussion on the Motivation to Learn Chemistry [Internet]. Journal of Chemical Education. 2022 ; 99 578−591.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1021/acs.jchemed.1c00287
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      Ferreira DM, Sentanin FC, Parra KN, Bonini VMN, Castro M de, Kasseboehmer AC. Implementation of Inquiry-Based Science in the Classroom and Its Repercussion on the Motivation to Learn Chemistry [Internet]. Journal of Chemical Education. 2022 ; 99 578−591.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1021/acs.jchemed.1c00287
  • Source: Mathematics. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, ALGORITMOS, PROBABILIDADE APLICADA

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      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: 23 fev. 2024.
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      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
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      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 fev. 23 ] 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 fev. 23 ] Available from: https://doi.org/10.3390/math9151815
  • Source: Revstat Statistical Journal. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA

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      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: 23 fev. 2024.
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      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
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      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 fev. 23 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf
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      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 fev. 23 ] Available from: https://www.ine.pt/revstat/pdf/REVSTAT_v19-n4-05.pdf
  • Source: Journal of Statistical Planning and Inference. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE DADOS, DISTRIBUIÇÕES (PROBABILIDADE)

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      VIDAL, Ignacio e CASTRO, Mário de. A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, v. 212, p. 194-200, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2020.10.002. Acesso em: 23 fev. 2024.
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      Vidal, I., & Castro, M. de. (2021). A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, 212, 194-200. doi:10.1016/j.jspi.2020.10.002
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      Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
    • Vancouver

      Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
  • Source: International Endodontic Journal. Unidade: ICMC

    Subjects: BACTÉRIAS, ENDODONTIA, ESTATÍSTICA APLICADA, REAÇÃO EM CADEIA POR POLIMERASE, LESÕES PERIAPICAIS

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      BRONZATO, Juliana Delatorre et al. Bacteria and virulence factors in periapical lesions associated with teeth following primary and secondary root canal treatment. International Endodontic Journal, v. 54, p. 660-671, 2021Tradução . . Disponível em: https://doi.org/10.1111/iej.13457. Acesso em: 23 fev. 2024.
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      Bronzato, J. D., Davidian, M. E., Castro, M. de, Soares, A. de J., Ferraz, C., Almeida, J. F. A. de, et al. (2021). Bacteria and virulence factors in periapical lesions associated with teeth following primary and secondary root canal treatment. International Endodontic Journal, 54, 660-671. doi:10.1111/iej.13457
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      Bronzato JD, Davidian ME, Castro M de, Soares A de J, Ferraz C, Almeida JFA de, Marciano M, Gomes BPF de A. Bacteria and virulence factors in periapical lesions associated with teeth following primary and secondary root canal treatment [Internet]. International Endodontic Journal. 2021 ; 54 660-671.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/iej.13457
    • Vancouver

      Bronzato JD, Davidian ME, Castro M de, Soares A de J, Ferraz C, Almeida JFA de, Marciano M, Gomes BPF de A. Bacteria and virulence factors in periapical lesions associated with teeth following primary and secondary root canal treatment [Internet]. International Endodontic Journal. 2021 ; 54 660-671.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/iej.13457
  • Source: Symmetry. Unidade: ICMC

    Subjects: ASSIMETRIA, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      IRIARTE, Yuri A e CASTRO, Mário de e GÓMEZ, Héctor W. A unimodal/bimodal skew/symmetric distribution generated from Lambert’s transformation. Symmetry, v. 13, n. 2, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13020269. Acesso em: 23 fev. 2024.
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      Iriarte, Y. A., Castro, M. de, & Gómez, H. W. (2021). A unimodal/bimodal skew/symmetric distribution generated from Lambert’s transformation. Symmetry, 13( 2), 1-22. doi:10.3390/sym13020269
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      Iriarte YA, Castro M de, Gómez HW. A unimodal/bimodal skew/symmetric distribution generated from Lambert’s transformation [Internet]. Symmetry. 2021 ; 13( 2): 1-22.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/sym13020269
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      Iriarte YA, Castro M de, Gómez HW. A unimodal/bimodal skew/symmetric distribution generated from Lambert’s transformation [Internet]. Symmetry. 2021 ; 13( 2): 1-22.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/sym13020269
  • Source: International Statistical Review. Unidades: ICMC, IME

    Assunto: ESTATÍSTICA

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      RUGGERI, Fabrizio et al. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, v. 89, n. 3, p. 435-446, 2021Tradução . . Disponível em: https://doi.org/10.1111/insr.12472. Acesso em: 23 fev. 2024.
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      Ruggeri, F., Bolfarine, H., Guzmán, J. L. B., Arellano-Valle, R. B., Dávila, V. H. L., & Castro, M. de. (2021). 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine. International Statistical Review, 89( 3), 435-446. doi:10.1111/insr.12472
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      Ruggeri F, Bolfarine H, Guzmán JLB, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/insr.12472
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      Ruggeri F, Bolfarine H, Guzmán JLB, Arellano-Valle RB, Dávila VHL, Castro M de. 2021 International Statistical Institute Mahalanobis Award: a tribute to Heleno Bolfarine [Internet]. International Statistical Review. 2021 ; 89( 3): 435-446.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/insr.12472
  • Source: Metron: international journal of statistics. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      BOURGUIGNON, Marcelo e SANTOS-NETO, Manoel e CASTRO, Mário de. A new regression model for positive random variables with skewed and long tail. Metron: international journal of statistics, v. 79, p. 33-55, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40300-021-00203-y. Acesso em: 23 fev. 2024.
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      Bourguignon, M., Santos-Neto, M., & Castro, M. de. (2021). A new regression model for positive random variables with skewed and long tail. Metron: international journal of statistics, 79, 33-55. doi:10.1007/s40300-021-00203-y
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      Bourguignon M, Santos-Neto M, Castro M de. A new regression model for positive random variables with skewed and long tail [Internet]. Metron: international journal of statistics. 2021 ; 79 33-55.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s40300-021-00203-y
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      Bourguignon M, Santos-Neto M, Castro M de. A new regression model for positive random variables with skewed and long tail [Internet]. Metron: international journal of statistics. 2021 ; 79 33-55.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s40300-021-00203-y
  • Source: Symmetry. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES UNIFORMES, MODELAGEM DE DADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA

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      IRIARTE, Yuri A e CASTRO, Mário de e GÓMEZ, Héctor W. An alternative one-parameter distribution for bounded data modeling generated from the Lambert transformation. Symmetry, v. 13, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/sym13071190. Acesso em: 23 fev. 2024.
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      Iriarte, Y. A., Castro, M. de, & Gómez, H. W. (2021). An alternative one-parameter distribution for bounded data modeling generated from the Lambert transformation. Symmetry, 13, 1-22. doi:10.3390/sym13071190
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      Iriarte YA, Castro M de, Gómez HW. An alternative one-parameter distribution for bounded data modeling generated from the Lambert transformation [Internet]. Symmetry. 2021 ; 13 1-22.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/sym13071190
    • Vancouver

      Iriarte YA, Castro M de, Gómez HW. An alternative one-parameter distribution for bounded data modeling generated from the Lambert transformation [Internet]. Symmetry. 2021 ; 13 1-22.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/sym13071190
  • Source: Quality Engineering. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, SIMULAÇÃO (ESTATÍSTICA)

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      CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, v. 33, n. 4, p. 571-580, 2021Tradução . . Disponível em: https://doi.org/10.1080/08982112.2021.1931317. Acesso em: 23 fev. 2024.
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      Castro, M. de, & Galea Rojas, M. J. (2021). Bayesian inference for the pairwise probability of agreement using data from several measurement systems. Quality Engineering, 33( 4), 571-580. doi:10.1080/08982112.2021.1931317
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      Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
    • Vancouver

      Castro M de, Galea Rojas MJ. Bayesian inference for the pairwise probability of agreement using data from several measurement systems [Internet]. Quality Engineering. 2021 ; 33( 4): 571-580.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1080/08982112.2021.1931317
  • Source: Methodology and Computing in Applied Probability. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, BIOESTATÍSTICA, INFERÊNCIA NÃO PARAMÉTRICA, DISTRIBUIÇÃO BINOMIAL, MÉTODOS MCMC

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      CASTRO, Mário de e GÓMEZ, Yolanda M. A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, v. 22, n. 2, p. 677-692, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11009-019-09728-2. Acesso em: 23 fev. 2024.
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      Castro, M. de, & Gómez, Y. M. (2020). A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, 22( 2), 677-692. doi:10.1007/s11009-019-09728-2
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      Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
    • Vancouver

      Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
  • Source: Statistical Methods in Medical Research. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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      MATELUNA, Diego Ignacio Gallardo et al. On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, v. 29, n. 7, p. 1831-1845, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219876962. Acesso em: 23 fev. 2024.
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      Mateluna, D. I. G., Gomez, Y. M., Gómez, H. W., & Castro, M. de. (2020). On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, 29( 7), 1831-1845. doi:10.1177/0962280219876962
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      Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1177/0962280219876962
    • Vancouver

      Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1177/0962280219876962
  • Unidades: IME, ICMC

    Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VIÉS DO TESTE

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    • ABNT

      BOLFARINE, Heleno e CASTRO, Mário de e GALEA ROJAS, Manuel Jesus. Regression models for the comparison of measurement methods. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-57935-7. Acesso em: 23 fev. 2024. , 2020
    • APA

      Bolfarine, H., Castro, M. de, & Galea Rojas, M. J. (2020). Regression models for the comparison of measurement methods. Cham: Springer. doi:10.1007/978-3-030-57935-7
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      Bolfarine H, Castro M de, Galea Rojas MJ. Regression models for the comparison of measurement methods [Internet]. 2020 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
    • Vancouver

      Bolfarine H, Castro M de, Galea Rojas MJ. Regression models for the comparison of measurement methods [Internet]. 2020 ;[citado 2024 fev. 23 ] Available from: https://doi.org/10.1007/978-3-030-57935-7
  • Source: Mathematics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE DADOS, ANÁLISE DE RISCO

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      IRIARTE, Yuri A e CASTRO, Mário de e GÓMEZ, Héctor W. The Lambert-F distributions class: an alternative family for positive data analysis. Mathematics, v. 8, n. 9, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.3390/math8091398. Acesso em: 23 fev. 2024.
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      Iriarte, Y. A., Castro, M. de, & Gómez, H. W. (2020). The Lambert-F distributions class: an alternative family for positive data analysis. Mathematics, 8( 9), 1-17. doi:10.3390/math8091398
    • NLM

      Iriarte YA, Castro M de, Gómez HW. The Lambert-F distributions class: an alternative family for positive data analysis [Internet]. Mathematics. 2020 ; 8( 9): 1-17.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/math8091398
    • Vancouver

      Iriarte YA, Castro M de, Gómez HW. The Lambert-F distributions class: an alternative family for positive data analysis [Internet]. Mathematics. 2020 ; 8( 9): 1-17.[citado 2024 fev. 23 ] Available from: https://doi.org/10.3390/math8091398
  • Source: Biometrics. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, MÉTODOS MCMC, NEOPLASIAS PROSTÁTICAS

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    • ABNT

      CASTRO, Mário de et al. A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, v. 76, n. 4, p. 1297-1309, 2020Tradução . . Disponível em: https://doi.org/10.1111/biom.13228. Acesso em: 23 fev. 2024.
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      Castro, M. de, Chen, M. -H., Zhang, Y., & D'Amico, A. V. (2020). A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, 76( 4), 1297-1309. doi:10.1111/biom.13228
    • NLM

      Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/biom.13228
    • Vancouver

      Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2024 fev. 23 ] Available from: https://doi.org/10.1111/biom.13228

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