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  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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    • ABNT

      ASTORGA, Juan M et al. Modified slashed generalized exponential distribution. Communications in Statistics - Theory and Methods, v. 49, n. 19, p. 4603-4617, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1604959. Acesso em: 10 nov. 2025.
    • APA

      Astorga, J. M., Iriarte, Y. A., Gómez, H. W., & Bolfarine, H. (2020). Modified slashed generalized exponential distribution. Communications in Statistics - Theory and Methods, 49( 19), 4603-4617. doi:10.1080/03610926.2019.1604959
    • NLM

      Astorga JM, Iriarte YA, Gómez HW, Bolfarine H. Modified slashed generalized exponential distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 19): 4603-4617.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2019.1604959
    • Vancouver

      Astorga JM, Iriarte YA, Gómez HW, Bolfarine H. Modified slashed generalized exponential distribution [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 19): 4603-4617.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2019.1604959
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: MÉTODOS DE REAMOSTRAGEM, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE MULTIVARIADA, DADOS QUALITATIVOS

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    • ABNT

      FERREIRA, Paulo Henrique e LOUZADA, Francisco. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, v. 49, n. 6, p. 1375-1401, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1563167. Acesso em: 10 nov. 2025.
    • APA

      Ferreira, P. H., & Louzada, F. (2020). Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, 49( 6), 1375-1401. doi:10.1080/03610926.2018.1563167
    • NLM

      Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
    • Vancouver

      Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1563167
  • Source: Communications in Statistics - Theory and Methods. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA, ANÁLISE DE SOBREVIVÊNCIA, MODELOS MATEMÁTICOS, DADOS CENSURADOS

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    • ABNT

      RAMOS, Pedro Luiz et al. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data. Communications in Statistics - Theory and Methods, v. 48, n. 10, p. 2372-2389, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1465084. Acesso em: 10 nov. 2025.
    • APA

      Ramos, P. L., Louzada, F., Shimizu, T. K. O., & Luiz, A. O. (2019). The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data. Communications in Statistics - Theory and Methods, 48( 10), 2372-2389. doi:10.1080/03610926.2018.1465084
    • NLM

      Ramos PL, Louzada F, Shimizu TKO, Luiz AO. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 10): 2372-2389.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1465084
    • Vancouver

      Ramos PL, Louzada F, Shimizu TKO, Luiz AO. The inverse weighted Lindley distribution: properties, estimation and an application on a failure time data [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 10): 2372-2389.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1465084
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO ELÍPTICA

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      REYES, Jimmy et al. A new class of slash-elliptical distributions. Communications in Statistics - Theory and Methods, v. 48, n. 12, p. 3105–3121, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1473607. Acesso em: 10 nov. 2025.
    • APA

      Reyes, J., Gallardo, D. I., Bolfarine, H., & Gómez, H. W. (2019). A new class of slash-elliptical distributions. Communications in Statistics - Theory and Methods, 48( 12), 3105–3121. doi:10.1080/03610926.2018.1473607
    • NLM

      Reyes J, Gallardo DI, Bolfarine H, Gómez HW. A new class of slash-elliptical distributions [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 12): 3105–3121.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1473607
    • Vancouver

      Reyes J, Gallardo DI, Bolfarine H, Gómez HW. A new class of slash-elliptical distributions [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 12): 3105–3121.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1473607
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: VEROSSIMILHANÇA, REGRESSÃO LINEAR

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      MAGALHÃES, Tiago Maia et al. Skewness of maximum likelihood estimators in the varying dispersion beta regression model. Communications in Statistics - Theory and Methods, v. 48, n. 18, p. 4250-4260, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1490768. Acesso em: 10 nov. 2025.
    • APA

      Magalhães, T. M., Botter, D. A., Sandoval, M. C., Pereira, G. H. A., & Cordeiro, G. M. (2019). Skewness of maximum likelihood estimators in the varying dispersion beta regression model. Communications in Statistics - Theory and Methods, 48( 18), 4250-4260. doi:10.1080/03610926.2018.1490768
    • NLM

      Magalhães TM, Botter DA, Sandoval MC, Pereira GHA, Cordeiro GM. Skewness of maximum likelihood estimators in the varying dispersion beta regression model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 18): 4250-4260.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1490768
    • Vancouver

      Magalhães TM, Botter DA, Sandoval MC, Pereira GHA, Cordeiro GM. Skewness of maximum likelihood estimators in the varying dispersion beta regression model [Internet]. Communications in Statistics - Theory and Methods. 2019 ; 48( 18): 4250-4260.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2018.1490768
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Assunto: INFERÊNCIA PARAMÉTRICA

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      IRIARTE, Yuri A et al. Modified slashed-Rayleigh distribution. Communications in Statistics - Theory and Methods, v. 47, n. 13, p. 3220-3233, 2018Tradução . . Disponível em: https://doi.org/10.1080/03610926.2017.1353621. Acesso em: 10 nov. 2025.
    • APA

      Iriarte, Y. A., Castillo, N. O., Bolfarine, H., & Gómez, H. W. (2018). Modified slashed-Rayleigh distribution. Communications in Statistics - Theory and Methods, 47( 13), 3220-3233. doi:10.1080/03610926.2017.1353621
    • NLM

      Iriarte YA, Castillo NO, Bolfarine H, Gómez HW. Modified slashed-Rayleigh distribution [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 13): 3220-3233.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2017.1353621
    • Vancouver

      Iriarte YA, Castillo NO, Bolfarine H, Gómez HW. Modified slashed-Rayleigh distribution [Internet]. Communications in Statistics - Theory and Methods. 2018 ; 47( 13): 3220-3233.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2017.1353621
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ESTIMAÇÃO PARAMÉTRICA

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      OLMOS, Neveka M e MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno. Bimodal Birnbaum-Saunders distribution with applications to non-negative measurements. Communications in Statistics - Theory and Methods, v. 46, n. 13, p. 6240-6257, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2015.1133824. Acesso em: 10 nov. 2025.
    • APA

      Olmos, N. M., Martínez-Flórez, G., & Bolfarine, H. (2017). Bimodal Birnbaum-Saunders distribution with applications to non-negative measurements. Communications in Statistics - Theory and Methods, 46( 13), 6240-6257. doi:10.1080/03610926.2015.1133824
    • NLM

      Olmos NM, Martínez-Flórez G, Bolfarine H. Bimodal Birnbaum-Saunders distribution with applications to non-negative measurements [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 13): 6240-6257.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2015.1133824
    • Vancouver

      Olmos NM, Martínez-Flórez G, Bolfarine H. Bimodal Birnbaum-Saunders distribution with applications to non-negative measurements [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( 13): 6240-6257.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1080/03610926.2015.1133824

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