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  • 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; GÓMEZ, Yolanda M. A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, Dordrecht, Springer, v. 22, n. 2, p. 677-692, 2020. Disponível em: < http://dx.doi.org/10.1007/s11009-019-09728-2 > DOI: 10.1007/s11009-019-09728-2.
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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
    • NLM

      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.Available from: http://dx.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.Available from: http://dx.doi.org/10.1007/s11009-019-09728-2
  • Source: Biometrics. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, MÉTODOS MCMC, NEOPLASIAS PROSTÁTICAS

    Disponível em 2022-01-01Acesso à fonteDOIHow to cite
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      CASTRO, Mário de; CHEN, Ming-Hui; ZHANG, Yuanye; D'AMICO, Anthony Victor. A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, Chichester, Wiley, v. 76, n. 4, p. 1297-1309, 2020. Disponível em: < https://doi.org/10.1111/biom.13228 > DOI: 10.1111/biom.13228.
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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
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      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.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.Available from: https://doi.org/10.1111/biom.13228
  • Source: Libro de resúmenes. Conference titles: Congreso Bayesiano de America Latina. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE), ESTATÍSTICA

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      VIDAL, Ignacio; CASTRO, Mário de. A bayesian analysis of the matching problem. Anais.. Lima: PUCP, 2019.Disponível em: .
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      Vidal, I., & Castro, M. de. (2019). A bayesian analysis of the matching problem. In Libro de resúmenes. Lima: PUCP. Recuperado de https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
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      Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Libro de resúmenes. 2019 ;Available from: https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
    • Vancouver

      Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Libro de resúmenes. 2019 ;Available from: https://www.dropbox.com/s/99p8o4a93tcbktk/VICOBAL2019.pdf?dl=0
  • Source: Statistical Papers. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA

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      CASTRO, Mário de; VIDAL, Ignacio. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution. Statistical Papers, Heidelberg, Springer, v. 60, n. 4, p. 1059-1078, 2019. Disponível em: < http://dx.doi.org/10.1007/s00362-016-0863-7 > DOI: 10.1007/s00362-016-0863-7.
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      Castro, M. de, & Vidal, I. (2019). Bayesian inference in measurement error models from objective priors for the bivariate normal distribution. Statistical Papers, 60( 4), 1059-1078. doi:10.1007/s00362-016-0863-7
    • NLM

      Castro M de, Vidal I. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution [Internet]. Statistical Papers. 2019 ; 60( 4): 1059-1078.Available from: http://dx.doi.org/10.1007/s00362-016-0863-7
    • Vancouver

      Castro M de, Vidal I. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution [Internet]. Statistical Papers. 2019 ; 60( 4): 1059-1078.Available from: http://dx.doi.org/10.1007/s00362-016-0863-7
  • Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      TOMAYA, Lorena Cáceres; CASTRO, Mário de. New estimation methods for the Grubbs model. Chemometrics and Intelligent Laboratory Systems, Amsterdam, Elsevier BV, v. 176, p. 119-125, 2018. Disponível em: < http://dx.doi.org/10.1016/j.chemolab.2018.03.009 > DOI: 10.1016/j.chemolab.2018.03.009.
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      Tomaya, L. C., & Castro, M. de. (2018). New estimation methods for the Grubbs model. Chemometrics and Intelligent Laboratory Systems, 176, 119-125. doi:10.1016/j.chemolab.2018.03.009
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      Tomaya LC, Castro M de. New estimation methods for the Grubbs model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 176 119-125.Available from: http://dx.doi.org/10.1016/j.chemolab.2018.03.009
    • Vancouver

      Tomaya LC, Castro M de. New estimation methods for the Grubbs model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2018 ; 176 119-125.Available from: http://dx.doi.org/10.1016/j.chemolab.2018.03.009
  • Source: Journal of Statistical Theory and Practice. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      WU, Jing; CASTRO, Mário de; ELIZABETH D. SCHIFANO,; CHEN, Ming-Hui. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, Greensboro, NC, Grace Scientific Publishing, LLC, v. 12, n. 1, p. 23-41, 2018. Disponível em: < http://dx.doi.org/10.1080/15598608.2017.1299058 > DOI: 10.1080/15598608.2017.1299058.
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      Wu, J., Castro, M. de, Elizabeth D. Schifano,, & Chen, M. -H. (2018). Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, 12( 1), 23-41. doi:10.1080/15598608.2017.1299058
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      Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.Available from: http://dx.doi.org/10.1080/15598608.2017.1299058
    • Vancouver

      Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.Available from: http://dx.doi.org/10.1080/15598608.2017.1299058
  • Source: Communications in Statistics - Simulation and Computation. Unidade: ICMC

    Assunto: REGRESSÃO

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      SILVA, Eveliny Barroso da; DINIZ, Carlos Alberto Ribeiro; CARRASCO, Jalmar Manuel Farfan; CASTRO, Mário de. A class of beta regression models with multiplicative log-normal measurement errors. Communications in Statistics - Simulation and Computation, Philadelphia, Taylor and Francis, v. 47, n. 1, p. 229-248, 2018. Disponível em: < http://dx.doi.org/10.1080/03610918.2017.1280165 > DOI: 10.1080/03610918.2017.1280165.
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      Silva, E. B. da, Diniz, C. A. R., Carrasco, J. M. F., & Castro, M. de. (2018). A class of beta regression models with multiplicative log-normal measurement errors. Communications in Statistics - Simulation and Computation, 47( 1), 229-248. doi:10.1080/03610918.2017.1280165
    • NLM

      Silva EB da, Diniz CAR, Carrasco JMF, Castro M de. A class of beta regression models with multiplicative log-normal measurement errors [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 1): 229-248.Available from: http://dx.doi.org/10.1080/03610918.2017.1280165
    • Vancouver

      Silva EB da, Diniz CAR, Carrasco JMF, Castro M de. A class of beta regression models with multiplicative log-normal measurement errors [Internet]. Communications in Statistics - Simulation and Computation. 2018 ; 47( 1): 229-248.Available from: http://dx.doi.org/10.1080/03610918.2017.1280165
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      TOMAYA, Lorena Cáceres; CASTRO, Mário de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, London, Taylor and Francis, v. 88, n. 11, p. 2185-2200, 2018. Disponível em: < http://dx.doi.org/10.1080/00949655.2018.1452925 > DOI: 10.1080/00949655.2018.1452925.
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      Tomaya, L. C., & Castro, M. de. (2018). A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances. Journal of Statistical Computation and Simulation, 88( 11), 2185-2200. doi:10.1080/00949655.2018.1452925
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      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.Available from: http://dx.doi.org/10.1080/00949655.2018.1452925
    • Vancouver

      Tomaya LC, Castro M de. A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2185-2200.Available from: http://dx.doi.org/10.1080/00949655.2018.1452925
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      GALLARDO, Diego I.; GÓMEZ, Yolanda M.; CASTRO, Mário de. A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, London, Taylor and Francis, v. 88, n. 11, p. 2137-2149, 2018. Disponível em: < http://dx.doi.org/10.1080/00949655.2018.1451850 > DOI: 10.1080/00949655.2018.1451850.
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      Gallardo, D. I., Gómez, Y. M., & Castro, M. de. (2018). A flexible cure rate model based on the polylogarithm distribution. Journal of Statistical Computation and Simulation, 88( 11), 2137-2149. doi:10.1080/00949655.2018.1451850
    • NLM

      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.Available from: http://dx.doi.org/10.1080/00949655.2018.1451850
    • Vancouver

      Gallardo DI, Gómez YM, Castro M de. A flexible cure rate model based on the polylogarithm distribution [Internet]. Journal of Statistical Computation and Simulation. 2018 ; 88( 11): 2137-2149.Available from: http://dx.doi.org/10.1080/00949655.2018.1451850
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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      CALSAVARA, Vinicius Fernando; RODRIGUES, Agatha Sacramento; TOMAZELLA, Vera Lúcia Damasceno; CASTRO, Mário de. Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, London, Taylor and Francis Group, LLC, v. 46, n. Ju 2017, p. 9763-9776, 2017. Disponível em: < http://dx.doi.org/10.1080/03610926.2016.1218029 > DOI: 10.1080/03610926.2016.1218029.
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      Calsavara, V. F., Rodrigues, A. S., Tomazella, V. L. D., & Castro, M. de. (2017). Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, 46( Ju 2017), 9763-9776. doi:10.1080/03610926.2016.1218029
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      Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.Available from: http://dx.doi.org/10.1080/03610926.2016.1218029
    • Vancouver

      Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.Available from: http://dx.doi.org/10.1080/03610926.2016.1218029
  • Source: Abstracts 5th WSPM. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA

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      TOMAYA, Lorena Cáceres; CASTRO, Mário de. Maximum penalized likelihood inference in classical errors-in-variables model. Anais.. São Paulo, SP: Associação Brasileira de Estatística - ABE, 2017.
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      Tomaya, L. C., & Castro, M. de. (2017). Maximum penalized likelihood inference in classical errors-in-variables model. In Abstracts 5th WSPM (p. 18). São Paulo, SP: Associação Brasileira de Estatística - ABE.
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      Tomaya LC, Castro M de. Maximum penalized likelihood inference in classical errors-in-variables model. Abstracts 5th WSPM. 2017 ; 18.
    • Vancouver

      Tomaya LC, Castro M de. Maximum penalized likelihood inference in classical errors-in-variables model. Abstracts 5th WSPM. 2017 ; 18.
  • Source: Statistics and Its Interface. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, MÉTODOS MCMC

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      BAYES, Cristian L.; BAZÁN GUZMÁN, Jorge Luis; CASTRO, Mário de. A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, Somerville, Massachusetts, International Press of Boston, v. 10, n. 3, p. 483-493, 2017. Disponível em: < http://dx.doi.org/10.4310/SII.2017.v10.n3.a11 > DOI: 10.4310/SII.2017.v10.n3.a11.
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      Bayes, C. L., Bazán Guzmán, J. L., & Castro, M. de. (2017). A quantile parametric mixed regression model for bounded response variables. Statistics and Its Interface, 10( 3), 483-493. doi:10.4310/SII.2017.v10.n3.a11
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      Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.Available from: http://dx.doi.org/10.4310/SII.2017.v10.n3.a11
    • Vancouver

      Bayes CL, Bazán Guzmán JL, Castro M de. A quantile parametric mixed regression model for bounded response variables [Internet]. Statistics and Its Interface. 2017 ; 10( 3): 483-493.Available from: http://dx.doi.org/10.4310/SII.2017.v10.n3.a11
  • Source: Abstracts 5th WSPM. Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      ABENSUR, Themis C.; CASTRO, Mário de; DAVIER, Alina A. von. Singularity points and vanishing tetrads in factor analysis. Anais.. São Paulo, SP: Associação Brasileira de Estatística - ABE, 2017.
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      Abensur, T. C., Castro, M. de, & Davier, A. A. von. (2017). Singularity points and vanishing tetrads in factor analysis. In Abstracts 5th WSPM (p. 22-23). São Paulo, SP: Associação Brasileira de Estatística - ABE.
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      Abensur TC, Castro M de, Davier AA von. Singularity points and vanishing tetrads in factor analysis. Abstracts 5th WSPM. 2017 ; 22-23.
    • Vancouver

      Abensur TC, Castro M de, Davier AA von. Singularity points and vanishing tetrads in factor analysis. Abstracts 5th WSPM. 2017 ; 22-23.
  • Source: Journal of Multivariate Analysis. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, EQUAÇÕES DE ESTIMAÇÃO

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      GALEA, Manuel; CASTRO, Mário de. Robust inference in a linear functional model with replications using the t distribution. Journal of Multivariate Analysis, Amsterdam, Elsevier, v. 160, p. 134-145, 2017. Disponível em: < http://dx.doi.org/10.1016/j.jmva.2017.06.008 > DOI: 10.1016/j.jmva.2017.06.008.
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      Galea, M., & Castro, M. de. (2017). Robust inference in a linear functional model with replications using the t distribution. Journal of Multivariate Analysis, 160, 134-145. doi:10.1016/j.jmva.2017.06.008
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      Galea M, Castro M de. Robust inference in a linear functional model with replications using the t distribution [Internet]. Journal of Multivariate Analysis. 2017 ; 160 134-145.Available from: http://dx.doi.org/10.1016/j.jmva.2017.06.008
    • Vancouver

      Galea M, Castro M de. Robust inference in a linear functional model with replications using the t distribution [Internet]. Journal of Multivariate Analysis. 2017 ; 160 134-145.Available from: http://dx.doi.org/10.1016/j.jmva.2017.06.008
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      GALLARDO MATELUNA, Diego Ignacio; GÓMEZ, Yolanda M.; CASTRO, Mário de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model. Journal of Statistical Computation and Simulation, London, Taylor and Francis, v. 87, n. 12, p. 2291-2297, 2017. Disponível em: < http://dx.doi.org/10.1080/00949655.2017.1327589 > DOI: 10.1080/00949655.2017.1327589.
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      Gallardo Mateluna, D. I., Gómez, Y. M., & Castro, M. de. (2017). A note on the EM algorithm for estimation in the destructive negative binomial cure rate model. Journal of Statistical Computation and Simulation, 87( 12), 2291-2297. doi:10.1080/00949655.2017.1327589
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      Gallardo Mateluna DI, Gómez YM, Castro M de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 12): 2291-2297.Available from: http://dx.doi.org/10.1080/00949655.2017.1327589
    • Vancouver

      Gallardo Mateluna DI, Gómez YM, Castro M de. A note on the EM algorithm for estimation in the destructive negative binomial cure rate model [Internet]. Journal of Statistical Computation and Simulation. 2017 ; 87( 12): 2291-2297.Available from: http://dx.doi.org/10.1080/00949655.2017.1327589
  • Source: Journal of Biopharmaceutical Statistics. Unidade: ICMC

    Subjects: NORMALIZAÇÃO, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, SIMULAÇÃO (ESTATÍSTICA), INFERÊNCIA BAYESIANA, ANÁLISE DE VARIÂNCIA, DISTRIBUIÇÕES (PROBABILIDADE)

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      VIDAL, Ignacio Vidal; CASTRO, Mário de. Bayesian inference for agreement measures. Journal of Biopharmaceutical Statistics, London, Taylor and Francis, v. 27, n. 5, p. 809-823, 2017. Disponível em: < http://dx.doi.org/10.1080/10543406.2016.1226323 > DOI: 10.1080/10543406.2016.1226323.
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      Vidal, I. V., & Castro, M. de. (2017). Bayesian inference for agreement measures. Journal of Biopharmaceutical Statistics, 27( 5), 809-823. doi:10.1080/10543406.2016.1226323
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      Vidal IV, Castro M de. Bayesian inference for agreement measures [Internet]. Journal of Biopharmaceutical Statistics. 2017 ; 27( 5): 809-823.Available from: http://dx.doi.org/10.1080/10543406.2016.1226323
    • Vancouver

      Vidal IV, Castro M de. Bayesian inference for agreement measures [Internet]. Journal of Biopharmaceutical Statistics. 2017 ; 27( 5): 809-823.Available from: http://dx.doi.org/10.1080/10543406.2016.1226323
  • Source: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

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      CASTRO, Mário de; CHEN, Ming-Hui; ZHANG, Yuanye. Bayesian frailty models for multi-state survival data. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics[S.l: s.n.], p. 351 , 2016.Disponível em: DOI: 10.1007/978-3-319-42568-9_4.
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      Castro, M. de, Chen, M. -H., & Zhang, Y. (2016). Bayesian frailty models for multi-state survival data. In Statistical applications from clinical trials and personalized medicine to finance and business analytics (p. 351 ). Cham: Springer. doi:10.1007/978-3-319-42568-9_4
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      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .Available from: http://dx.doi.org/10.1007/978-3-319-42568-9_4
    • Vancouver

      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .Available from: http://dx.doi.org/10.1007/978-3-319-42568-9_4
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROBABILIDADE

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      RODRIGUES, Josemar; CORDEIRO, Gauss M; CASTRO, Mário de; NADARAJAH, Saralees. A unified class of compound lifetime distributions. Communications in Statistics - Theory and Methods, London, Taylor and Francis Group, LLC, v. 25, n. 8, p. 2323-2331, 2016. Disponível em: < http://dx.doi.org/10.1080/03610926.2014.881491 > DOI: 10.1080/03610926.2014.881491.
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      Rodrigues, J., Cordeiro, G. M., Castro, M. de, & Nadarajah, S. (2016). A unified class of compound lifetime distributions. Communications in Statistics - Theory and Methods, 25( 8), 2323-2331. doi:10.1080/03610926.2014.881491
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      Rodrigues J, Cordeiro GM, Castro M de, Nadarajah S. A unified class of compound lifetime distributions [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 25( 8): 2323-2331.Available from: http://dx.doi.org/10.1080/03610926.2014.881491
    • Vancouver

      Rodrigues J, Cordeiro GM, Castro M de, Nadarajah S. A unified class of compound lifetime distributions [Internet]. Communications in Statistics - Theory and Methods. 2016 ; 25( 8): 2323-2331.Available from: http://dx.doi.org/10.1080/03610926.2014.881491
  • Source: Biometrics. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
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    • ABNT

      CASTRO, Mário de; CHEN, Ming-Hui; ZHANG, Yuanye. Bayesian path specific frailty models for multi-state survival data with applications. Biometrics, Arlington, TX, The International Biometric Society, v. 71, n. 3, p. 760-771, 2015. Disponível em: < http://dx.doi.org/10.1111/biom.12298 > DOI: 10.1111/biom.12298.
    • APA

      Castro, M. de, Chen, M. -H., & Zhang, Y. (2015). Bayesian path specific frailty models for multi-state survival data with applications. Biometrics, 71( 3), 760-771. doi:10.1111/biom.12298
    • NLM

      Castro M de, Chen M-H, Zhang Y. Bayesian path specific frailty models for multi-state survival data with applications [Internet]. Biometrics. 2015 ; 71( 3): 760-771.Available from: http://dx.doi.org/10.1111/biom.12298
    • Vancouver

      Castro M de, Chen M-H, Zhang Y. Bayesian path specific frailty models for multi-state survival data with applications [Internet]. Biometrics. 2015 ; 71( 3): 760-771.Available from: http://dx.doi.org/10.1111/biom.12298
  • Source: Journal of Statistical Computation and Simulation. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE

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    • ABNT

      RODRIGUES, Josemar; BALAKRISHNAN, Narayanaswamy; CORDEIRO, Gauss M; CASTRO, Mário de; CANCHO, Vicente Garibay. Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, London, Taylor and Francis, v. 85, n. 14, p. 2860-2873, 2015. Disponível em: < http://dx.doi.org/10.1080/00949655.2014.943223 > DOI: 10.1080/00949655.2014.943223.
    • APA

      Rodrigues, J., Balakrishnan, N., Cordeiro, G. M., Castro, M. de, & Cancho, V. G. (2015). Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation, 85( 14), 2860-2873. doi:10.1080/00949655.2014.943223
    • NLM

      Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.Available from: http://dx.doi.org/10.1080/00949655.2014.943223
    • Vancouver

      Rodrigues J, Balakrishnan N, Cordeiro GM, Castro M de, Cancho VG. Latent cure rate model under repair system and threshold effect [Internet]. Journal of Statistical Computation and Simulation. 2015 ; 85( 14): 2860-2873.Available from: http://dx.doi.org/10.1080/00949655.2014.943223

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