Filtros : "Brazilian Journal of Probability and Statistics" Limpar

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  • Source: Brazilian Journal of Probability and Statistics. Unidades: IME, ICMC

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      ARELLANO-VALLE, Reinaldo Boris et al. Preface to the special issue. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1214/23-BJPS372PRE. Acesso em: 28 mar. 2024. , 2023
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      Arellano-Valle, R. B., Balakrishnan, N., Branco, M. D. 'E., & Rodrigues, J. (2023). Preface to the special issue. [Editorial]. Brazilian Journal of Probability and Statistics. São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1214/23-BJPS372PRE
    • NLM

      Arellano-Valle RB, Balakrishnan N, Branco MD'E, Rodrigues J. Preface to the special issue. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 247-248.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
    • Vancouver

      Arellano-Valle RB, Balakrishnan N, Branco MD'E, Rodrigues J. Preface to the special issue. [Editorial] [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 247-248.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      BENITES, Luis et al. Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 282-312, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS551. Acesso em: 28 mar. 2024.
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      Benites, L., Zeller, C. B., Bolfarine, H., & Lachos, V. H. (2023). Regression modeling of censored data based on compound scale mixtures of normal distributions. Brazilian Journal of Probability and Statistics, 37( 2), 282-312. doi:10.1214/22-BJPS551
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      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS551
    • Vancouver

      Benites L, Zeller CB, Bolfarine H, Lachos VH. Regression modeling of censored data based on compound scale mixtures of normal distributions [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 282-312.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS551
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: ESTATÍSTICA

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      CHOU-CHEN, Shu Wei e MORETTIN, Pedro Alberto. A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 155-176, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS565. Acesso em: 28 mar. 2024.
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      Chou-Chen, S. W., & Morettin, P. A. (2023). A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations. Brazilian Journal of Probability and Statistics, 37( 1), 155-176. doi:10.1214/23-BJPS565
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      Chou-Chen SW, Morettin PA. A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 155-176.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS565
    • Vancouver

      Chou-Chen SW, Morettin PA. A two-step estimation procedure for locally stationary ARMA processes with tempered stable innovations [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 155-176.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS565
  • Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA

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      VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 28 mar. 2024.
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      Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566
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      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS566
    • Vancouver

      Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/23-BJPS566
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      CARRASCO, Jalmar M. F e FERRARI, Sílvia Lopes de Paula e ARELLANO–VALLE, Reinaldo B. Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, v. 37, n. 2, p. 249-262, 2023Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS543. Acesso em: 28 mar. 2024.
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      Carrasco, J. M. F., Ferrari, S. L. de P., & Arellano–Valle, R. B. (2023). Multiplicative errors-in-variables beta regression. Brazilian Journal of Probability and Statistics, 37( 2), 249-262. doi:10.1214/22-BJPS543
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      Carrasco JMF, Ferrari SL de P, Arellano–Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS543
    • Vancouver

      Carrasco JMF, Ferrari SL de P, Arellano–Valle RB. Multiplicative errors-in-variables beta regression [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 2): 249-262.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS543
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ESALQ

    Subjects: CÁLCULO DIFERENCIAL E INTEGRAL, DISTRIBUIÇÕES (PROBABILIDADE), MEDIDAS REPETIDAS, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, VEROSSIMILHANÇA

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      CORDEIRO, Gauss M et al. Three mixed-effects regression models using an extended Weibull with applications on games in differential and integral calculus. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 751-770, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS553. Acesso em: 28 mar. 2024.
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      Cordeiro, G. M., Vasconcelos, J. C. S., Santos, D. P. dos, Ortega, E. M. M., & Sermarini, R. A. (2022). Three mixed-effects regression models using an extended Weibull with applications on games in differential and integral calculus. Brazilian Journal of Probability and Statistics, 36( 4), 751-770. doi:10.1214/22-BJPS553
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      Cordeiro GM, Vasconcelos JCS, Santos DP dos, Ortega EMM, Sermarini RA. Three mixed-effects regression models using an extended Weibull with applications on games in differential and integral calculus [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 751-770.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS553
    • Vancouver

      Cordeiro GM, Vasconcelos JCS, Santos DP dos, Ortega EMM, Sermarini RA. Three mixed-effects regression models using an extended Weibull with applications on games in differential and integral calculus [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 751-770.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS553
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: PROBABILIDADE

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      KOLEV, Nikolai e MULINACCI, Sabrina. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 685-691, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS548. Acesso em: 28 mar. 2024.
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      Kolev, N., & Mulinacci, S. (2022). Probability solutions of the Sincov’s functional equation on the set of nonnegative integers. Brazilian Journal of Probability and Statistics, 36( 4), 685-691. doi:10.1214/22-BJPS548
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      Kolev N, Mulinacci S. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 685-691.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS548
    • Vancouver

      Kolev N, Mulinacci S. Probability solutions of the Sincov’s functional equation on the set of nonnegative integers [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 685-691.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS548
  • Source: Brazilian Journal of Probability and Statistics. Unidades: FFLCH, IME

    Subjects: EVOLUÇÃO, PROCESSOS DE RAMIFICAÇÃO, MUTAÇÃO, PROBABILIDADE APLICADA

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      GREJO, Carolina Bueno et al. Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 771-776, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS554. Acesso em: 28 mar. 2024.
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      Grejo, C. B., Lopes, F. L., Machado, F. P., & Roldán-Correa, A. (2022). Evolution with mass extinction on Td+. Brazilian Journal of Probability and Statistics, 36( 4), 771-776. doi:10.1214/22-BJPS554
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      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS554
    • Vancouver

      Grejo CB, Lopes FL, Machado FP, Roldán-Correa A. Evolution with mass extinction on Td+ [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 771-776.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS554
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      FERREIRA, Clécio S. e MONTORIL, Michel Helcias e PAULA, Gilberto Alvarenga. Partially linear models with p-order autoregressive skew-normal errors. Brazilian Journal of Probability and Statistics, v. 36, n. 4, p. 792-806, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-bjps556. Acesso em: 28 mar. 2024.
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      Ferreira, C. S., Montoril, M. H., & Paula, G. A. (2022). Partially linear models with p-order autoregressive skew-normal errors. Brazilian Journal of Probability and Statistics, 36( 4), 792-806. doi:10.1214/22-bjps556
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      Ferreira CS, Montoril MH, Paula GA. Partially linear models with p-order autoregressive skew-normal errors [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 792-806.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-bjps556
    • Vancouver

      Ferreira CS, Montoril MH, Paula GA. Partially linear models with p-order autoregressive skew-normal errors [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 4): 792-806.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-bjps556
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: SÉRIES DE FOURIER, GEOESTATÍSTICA

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      SASSI, Gilberto e CHIANN, Chang. Estimation of trace-variogram using Legendre–Gauss quadrature. Brazilian Journal of Probability and Statistics, v. 36, n. 3, p. 482-491, 2022Tradução . . Disponível em: https://doi.org/10.1214/22-BJPS536. Acesso em: 28 mar. 2024.
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      Sassi, G., & Chiann, C. (2022). Estimation of trace-variogram using Legendre–Gauss quadrature. Brazilian Journal of Probability and Statistics, 36( 3), 482-491. doi:10.1214/22-BJPS536
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      Sassi G, Chiann C. Estimation of trace-variogram using Legendre–Gauss quadrature [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 3): 482-491.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS536
    • Vancouver

      Sassi G, Chiann C. Estimation of trace-variogram using Legendre–Gauss quadrature [Internet]. Brazilian Journal of Probability and Statistics. 2022 ; 36( 3): 482-491.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/22-BJPS536
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      CORDEIRO, Gauss Moutinho e LABOURIAU, Rodrigo e BOTTER, Denise Aparecida. An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 2-20, 2021Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS458. Acesso em: 28 mar. 2024.
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      Cordeiro, G. M., Labouriau, R., & Botter, D. A. (2021). An introduction to Bent Jørgensen’s ideas. Brazilian Journal of Probability and Statistics, 35( 1), 2-20. doi:10.1214/19-BJPS458
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      Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS458
    • Vancouver

      Cordeiro GM, Labouriau R, Botter DA. An introduction to Bent Jørgensen’s ideas [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 2-20.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS458
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA

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      COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 28 mar. 2024.
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      Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470
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      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS470
    • Vancouver

      Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS470
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA PARAMÉTRICA, TESTES DE HIPÓTESES, REGRESSÃO LINEAR

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      HOKAMA, Julio et al. Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, v. 35, n. 3, p. 569-589, 2021Tradução . . Disponível em: https://doi.org/10.1214/21-BJPS498. Acesso em: 28 mar. 2024.
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      Hokama, J., Morettin, P. A., Bolfarine, H., & Galea Rojas, M. J. (2021). Inference in a linear functional relationship with replications. Brazilian Journal of Probability and Statistics, 35( 3), 569-589. doi:10.1214/21-BJPS498
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      Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/21-BJPS498
    • Vancouver

      Hokama J, Morettin PA, Bolfarine H, Galea Rojas MJ. Inference in a linear functional relationship with replications [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 3): 569-589.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/21-BJPS498
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS LINEARES GENERALIZADOS

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      MAGALHÃES, Tiago Maia e BOTTER, Denise Aparecida e SANDOVAL, Monica Carneiro. A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 37-49, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS489. Acesso em: 28 mar. 2024.
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      Magalhães, T. M., Botter, D. A., & Sandoval, M. C. (2021). A general expression for second-order covariance matrices: an application to dispersion models. Brazilian Journal of Probability and Statistics, 35( 1), 37-49. doi:10.1214/20-BJPS489
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      Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS489
    • Vancouver

      Magalhães TM, Botter DA, Sandoval MC. A general expression for second-order covariance matrices: an application to dispersion models [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 37-49.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS489
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: INFERÊNCIA SEMIPARAMÉTRICA

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      TADDEO, Marcelo Magalhães e MORETTIN, Pedro Alberto. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 315-334, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS476. Acesso em: 28 mar. 2024.
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      Taddeo, M. M., & Morettin, P. A. (2021). Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions. Brazilian Journal of Probability and Statistics, 35( 2), 315-334. doi:10.1214/20-BJPS476
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      Taddeo MM, Morettin PA. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 315-334.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS476
    • Vancouver

      Taddeo MM, Morettin PA. Estimation of semiparametric models with errors following a scale mixture of Gaussian distributions [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 315-334.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS476
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: EQUAÇÕES DIFERENCIAIS ESTOCÁSTICAS, GRANDES DESVIOS

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      LOGACHOV, Artem e LOGACHOVA, Olga e YAMBARTSEV, Anatoli. The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, v. 35, n. 2, p. 205-223, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS472. Acesso em: 28 mar. 2024.
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      Logachov, A., Logachova, O., & Yambartsev, A. (2021). The local principle of large deviations for compound Poisson process with catastrophes. Brazilian Journal of Probability and Statistics, 35( 2), 205-223. doi:10.1214/20-BJPS472
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      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS472
    • Vancouver

      Logachov A, Logachova O, Yambartsev A. The local principle of large deviations for compound Poisson process with catastrophes [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 2): 205-223.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS472
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA

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      MORITA, Lia Hanna Martins et al. The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, v. 35, n. 1, p. 187-204, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS468. Acesso em: 28 mar. 2024.
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      Morita, L. H. M., Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). The random deterioration rate model with measurement error based on the inverse Gaussian distribution. Brazilian Journal of Probability and Statistics, 35( 1), 187-204. doi:10.1214/20-BJPS468
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      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS468
    • Vancouver

      Morita LHM, Tomazella VLD, Ramos PL, Ferreira PH, Louzada F. The random deterioration rate model with measurement error based on the inverse Gaussian distribution [Internet]. Brazilian Journal of Probability and Statistics. 2021 ; 35( 1): 187-204.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/20-BJPS468
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: INFERÊNCIA NÃO PARAMÉTRICA, ANÁLISE HARMÔNICA EM ESPAÇOS EUCLIDIANOS

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      MEDINA, Francyelle L. e MORETTIN, Pedro Alberto e TOLOI, Clelia Maria de Castro. Copula estimation through wavelets. Brazilian Journal of Probability and Statistics, v. 34, n. 3, p. 439-463, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS449. Acesso em: 28 mar. 2024.
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      Medina, F. L., Morettin, P. A., & Toloi, C. M. de C. (2020). Copula estimation through wavelets. Brazilian Journal of Probability and Statistics, 34( 3), 439-463. doi:10.1214/19-BJPS449
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      Medina FL, Morettin PA, Toloi CM de C. Copula estimation through wavelets [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 439-463.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS449
    • Vancouver

      Medina FL, Morettin PA, Toloi CM de C. Copula estimation through wavelets [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 439-463.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS449
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), EQUAÇÕES DIFERENCIAIS FUNCIONAIS, ANÁLISE DE SOBREVIVÊNCIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      KOLEV, Nikolai. Discrete line integral on uniform grids: probabilistic interpretation and applications. Brazilian Journal of Probability and Statistics, v. 34, n. 4, p. 821-843, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS454. Acesso em: 28 mar. 2024.
    • APA

      Kolev, N. (2020). Discrete line integral on uniform grids: probabilistic interpretation and applications. Brazilian Journal of Probability and Statistics, 34( 4), 821-843. doi:10.1214/19-BJPS454
    • NLM

      Kolev N. Discrete line integral on uniform grids: probabilistic interpretation and applications [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 4): 821-843.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS454
    • Vancouver

      Kolev N. Discrete line integral on uniform grids: probabilistic interpretation and applications [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 4): 821-843.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/19-BJPS454
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, AMOSTRAGEM, MÉTODO DE MONTE CARLO

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    • ABNT

      SARAIVA, Erlandson Ferreira e SUZUKI, Adriano Kamimura e MILAN, Luis Aparecido. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, v. 34, n. 2, p. 323-344, 2020Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS425. Acesso em: 28 mar. 2024.
    • APA

      Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2020). A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, 34( 2), 323-344. doi:10.1214/18-BJPS425
    • NLM

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/18-BJPS425
    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1214/18-BJPS425

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