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Artigo de periodico
Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application (2025)
Maehara, Rocío ; Bolfarine, Heleno ; Vilca, Filidor ; Balakrishnan, Narayanaswamy
Fonte: Mathematical Methods of Statistics. Unidade: IME
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), DISTRIBUIÇÃO NORMAL, INFERÊNCIA ESTATÍSTICA
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ABNT
MAEHARA, Rocío et al. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application. Mathematical Methods of Statistics, v. 34, p. 34-53, 2025Tradução . . Disponível em: https://doi.org/10.3103/S1066530723600355. Acesso em: 01 dez. 2025.
APA
Maehara, R., Bolfarine, H., Vilca, F., & Balakrishnan, N. (2025). Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application. Mathematical Methods of Statistics, 34, 34-53. doi:10.3103/S1066530723600355
NLM
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application [Internet]. Mathematical Methods of Statistics. 2025 ; 34 34-53.[citado 2025 dez. 01 ] Available from: https://doi.org/10.3103/S1066530723600355
Vancouver
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. Birnbaum-Saunders distribution based on asymmetric heavy-tailed distributions, associated inference, and application [Internet]. Mathematical Methods of Statistics. 2025 ; 34 34-53.[citado 2025 dez. 01 ] Available from: https://doi.org/10.3103/S1066530723600355
Artigo de periodico
A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications (2025)
Bueno, Vanderlei da Costa ; Balakrishnan, Narayanaswamy
Fonte: Methodology and Computing in Applied Probability. Unidade: IME
Assuntos: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, MARTINGAL
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ABNT
BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, v. 27, n. artigo 27, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11009-025-10153-x. Acesso em: 01 dez. 2025.
APA
Bueno, V. da C., & Balakrishnan, N. (2025). A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, 27( artigo 27), 1-25. doi:10.1007/s11009-025-10153-x
NLM
Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1007/s11009-025-10153-x
Vancouver
Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1007/s11009-025-10153-x
Artigo de periodico
An inaccuracy measure between non-explosive point processes with applications to Markov chains (2024)
Bueno, Vanderlei da Costa ; Balakrishnan, Narayanaswamy
Fonte: Advances in Applied Probability. Unidade: IME
Assuntos: CADEIAS DE MARKOV, TEORIA DA CONFIABILIDADE
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ABNT
BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. An inaccuracy measure between non-explosive point processes with applications to Markov chains. Advances in Applied Probability, v. 56, n. 2, p. 735-756, 2024Tradução . . Disponível em: https://doi.org/10.1017/apr.2023.44. Acesso em: 01 dez. 2025.
APA
Bueno, V. da C., & Balakrishnan, N. (2024). An inaccuracy measure between non-explosive point processes with applications to Markov chains. Advances in Applied Probability, 56( 2), 735-756. doi:10.1017/apr.2023.44
NLM
Bueno V da C, Balakrishnan N. An inaccuracy measure between non-explosive point processes with applications to Markov chains [Internet]. Advances in Applied Probability. 2024 ; 56( 2): 735-756.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1017/apr.2023.44
Vancouver
Bueno V da C, Balakrishnan N. An inaccuracy measure between non-explosive point processes with applications to Markov chains [Internet]. Advances in Applied Probability. 2024 ; 56( 2): 735-756.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1017/apr.2023.44
Artigo de periodico
A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data (2024)
Rodrigues, Josemar ; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO
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ABNT
RODRIGUES, Josemar et al. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, v. 94, n. 14, p. 3111-3130, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2368887. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2024). A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, 94( 14), 3111-3130. doi:10.1080/00949655.2024.2368887
NLM
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Vancouver
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Artigo de periodico-carta/editorial
Preface to the special issue. [Editorial] (2023)
Arellano-Valle, Reinaldo Boris ; Balakrishnan, Narayanaswamy ; Branco, Marcia D'Elia ; Rodrigues, Josemar
Fonte: Brazilian Journal of Probability and Statistics. Unidades: IME, ICMC
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ABNT
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: 01 dez. 2025. , 2023
APA
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1214/23-BJPS372PRE
Artigo de periodico
Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals (2023)
Rodrigues, Josemar ; Benites, Yuri Rojas; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Fonte: Communications in Statistics - Theory and Methods. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: DISTRIBUIÇÃO ELÍPTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA
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ABNT
RODRIGUES, Josemar et al. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, v. 52, n. 3, p. 918-938, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1933531. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Benites, Y. R., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2023). Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, 52( 3), 918-938. doi:10.1080/03610926.2021.1933531
NLM
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Vancouver
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Artigo de periodico
A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes (2022)
Bueno, Vanderlei da Costa ; Balakrishnan, Narayanaswamy
Fonte: Probability in the Engineering and Informational Sciences. Unidade: IME
Assuntos: SUFICIÊNCIA, TEORIA DA INFORMAÇÃO, ENTROPIA, PROCESSOS DE POISSON
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ABNT
BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes. Probability in the Engineering and Informational Sciences, v. 36, n. 2, p. 294-319, 2022Tradução . . Disponível em: https://doi.org/10.1017/S0269964820000637. Acesso em: 01 dez. 2025.
APA
Bueno, V. da C., & Balakrishnan, N. (2022). A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes. Probability in the Engineering and Informational Sciences, 36( 2), 294-319. doi:10.1017/S0269964820000637
NLM
Bueno V da C, Balakrishnan N. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes [Internet]. Probability in the Engineering and Informational Sciences. 2022 ; 36( 2): 294-319.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1017/S0269964820000637
Vancouver
Bueno V da C, Balakrishnan N. A cumulative residual inaccuracy measure for coherent systems at component level and under nonhomogeneous poisson processes [Internet]. Probability in the Engineering and Informational Sciences. 2022 ; 36( 2): 294-319.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1017/S0269964820000637
Artigo de periodico
A useful variance decomposition for destructive Waring regression cure model with an application to HIV data (2022)
Vasquez, Jonathan Kevin Jordan ; Rodrigues, Josemar ; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Theory and Methods. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, FATORES DE RISCO, HIV
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ABNT
VASQUEZ, Jonathan Kevin Jordan e RODRIGUES, Josemar e BALAKRISHNAN, Narayanaswamy. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, v. 51, n. 20, p. 6978-6989, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1869782. Acesso em: 01 dez. 2025.
APA
Vasquez, J. K. J., Rodrigues, J., & Balakrishnan, N. (2022). A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, 51( 20), 6978-6989. doi:10.1080/03610926.2020.1869782
NLM
Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
Vancouver
Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
Artigo de periodico
Inverse Gaussian process model with frailty term in reliability analysis (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Balakrishnan, Narayanaswamy ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Louzada, Francisco
Fonte: Quality and Reliability Engineering International. Unidade: ICMC
Assuntos: FALHA, PROCESSOS GAUSSIANOS, VEROSSIMILHANÇA
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ABNT
MORITA, Lia Hanna Martins et al. Inverse Gaussian process model with frailty term in reliability analysis. Quality and Reliability Engineering International, v. 37, p. 763-784, 2021Tradução . . Disponível em: https://doi.org/10.1002/qre.2762. Acesso em: 01 dez. 2025.
APA
Morita, L. H. M., Tomazella, V. L. D., Balakrishnan, N., Ramos, P. L., Ferreira, P. H., & Louzada, F. (2021). Inverse Gaussian process model with frailty term in reliability analysis. Quality and Reliability Engineering International, 37, 763-784. doi:10.1002/qre.2762
NLM
Morita LHM, Tomazella VLD, Balakrishnan N, Ramos PL, Ferreira PH, Louzada F. Inverse Gaussian process model with frailty term in reliability analysis [Internet]. Quality and Reliability Engineering International. 2021 ; 37 763-784.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/qre.2762
Vancouver
Morita LHM, Tomazella VLD, Balakrishnan N, Ramos PL, Ferreira PH, Louzada F. Inverse Gaussian process model with frailty term in reliability analysis [Internet]. Quality and Reliability Engineering International. 2021 ; 37 763-784.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/qre.2762
Artigo de periodico
Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas (2021)
Morita, Lia Hanna Martins ; Tomazella, Vera Lucia Damasceno ; Ferreira, Paulo Henrique ; Ramos, Pedro Luiz ; Balakrishnan, Narayanaswamy ; Louzada, Francisco
Fonte: Applied Stochastic Models in Business and Industry. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS
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ABNT
MORITA, Lia Hanna Martins et al. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, v. 37, n. 3, p. 612-627, 2021Tradução . . Disponível em: https://doi.org/10.1002/asmb.2601. Acesso em: 01 dez. 2025.
APA
Morita, L. H. M., Tomazella, V. L. D., Ferreira, P. H., Ramos, P. L., Balakrishnan, N., & Louzada, F. (2021). Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry, 37( 3), 612-627. doi:10.1002/asmb.2601
NLM
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/asmb.2601
Vancouver
Morita LHM, Tomazella VLD, Ferreira PH, Ramos PL, Balakrishnan N, Louzada F. Optimal burn-in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas [Internet]. Applied Stochastic Models in Business and Industry. 2021 ; 37( 3): 612-627.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/asmb.2601
Artigo de periodico
Bayesian superposition of pure-birth destructive cure processes for tumor latency (2020)
Rodrigues, Josemar ; Inacio, Marco Henrique de Almeida ; Suzuki, Adriano Kamimura ; Silva, Fernando Raimundo da; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS
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ABNT
RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, v. 49, n. 12, p. 3240-3253, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1538455. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2020). Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, 49( 12), 3240-3253. doi:10.1080/03610918.2018.1538455
NLM
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Vancouver
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Artigo de periodico
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution (2020)
Yiqi, Bao; Cancho, Vicente Garibay ; Dey, Dipak Kumar ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Fonte: Journal of Computational and Applied Mathematics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, CADEIAS DE MARKOV, ANÁLISE DE SOBREVIVÊNCIA
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ABNT
YIQI, Bao et al. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, v. 364, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2019.112362. Acesso em: 01 dez. 2025.
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Balakrishnan, N., & Suzuki, A. K. (2020). Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, 364, 1-15. doi:10.1016/j.cam.2019.112362
NLM
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.cam.2019.112362
Vancouver
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.cam.2019.112362
Artigo de periodico
Fractional approaches for the distribution of innovation sequence of INAR(1) processes (2020)
Rodrigues, Josemar ; Bourguignon, Marcelo ; Santos-Neto, Manoel ; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC
Assuntos: PROBABILIDADE, ANÁLISE DE SÉRIES TEMPORAIS, OPERADORES
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ABNT
RODRIGUES, Josemar et al. Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, v. 49, n. 9, p. 2205-2216, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1568492. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Bourguignon, M., Santos-Neto, M., & Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, 49( 9), 2205-2216. doi:10.1080/03610926.2019.1568492
NLM
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
Vancouver
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
Artigo de periodico
L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications (2019)
Paz, Rosineide F. da; Balakrishnan, Narayanaswamy; Bazán Guzmán, Jorge Luis
Fonte: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Assuntos: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO LOGÍSTICA, DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, v. 33, n. 3, p. 455-479, 2019Tradução . . Disponível em: https://doi.org/10.1214/18-BJPS397. Acesso em: 01 dez. 2025.
APA
Paz, R. F. da, Balakrishnan, N., & Bazán Guzmán, J. L. (2019). L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications. Brazilian Journal of Probability and Statistics, 33( 3), 455-479. doi:10.1214/18-BJPS397
NLM
Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1214/18-BJPS397
Vancouver
Paz RF da, Balakrishnan N, Bazán Guzmán JL. L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 3): 455-479.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1214/18-BJPS397
Trabalho de evento-resumo
Bayesian superposition of pure-birth destructive cure processes for tumor latency (2018)
Rodrigues, Josemar ; Inacio, Marco Henrique de Almeida ; Suzuki, Adriano Kamimura ; Silva, Fernando Raimundo da; Balakrishnan, Narayanaswamy
Fonte: Resumos. Nome do evento: Simpósio Nacional de Probabilidade e Estatística - SINAPE. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: PROCESSOS ESTOCÁSTICOS ESPECIAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, SIMULAÇÃO (ESTATÍSTICA), MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. 2018, Anais.. São Paulo: ABE, 2018. Disponível em: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2018). Bayesian superposition of pure-birth destructive cure processes for tumor latency. In Resumos. São Paulo: ABE. Recuperado de http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
NLM
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Resumos. 2018 ;[citado 2025 dez. 01 ] Available from: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
Vancouver
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Resumos. 2018 ;[citado 2025 dez. 01 ] Available from: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
Artigo de periodico
Bayesian cure rate models induced by frailty in survival analysis (2017)
Santos, Daiane de Souza ; Cancho, Vicente Garibay ; Rodrigues, Josemar ; Balakrishnan, Narayanaswamy
Fonte: Statistical Methods in Medical Research. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Daiane de Souza et al. Bayesian cure rate models induced by frailty in survival analysis. Statistical Methods in Medical Research, v. 26, n. 5, p. 2011-2028, 2017Tradução . . Disponível em: https://doi.org/10.1177/0962280217708671. Acesso em: 01 dez. 2025.
APA
Santos, D. de S., Cancho, V. G., Rodrigues, J., & Balakrishnan, N. (2017). Bayesian cure rate models induced by frailty in survival analysis. Statistical Methods in Medical Research, 26( 5), 2011-2028. doi:10.1177/0962280217708671
NLM
Santos D de S, Cancho VG, Rodrigues J, Balakrishnan N. Bayesian cure rate models induced by frailty in survival analysis [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2011-2028.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1177/0962280217708671
Vancouver
Santos D de S, Cancho VG, Rodrigues J, Balakrishnan N. Bayesian cure rate models induced by frailty in survival analysis [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2011-2028.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1177/0962280217708671
Trabalho de evento-resumo
The L-logistic distribution under Bayesian approach (2017)
Paz, Rosineide F. da; Balakrishnan, Narayanaswamy; Bazán Guzmán, Jorge Luis
Fonte: Abstracts 5th WSPM. Nome do evento: Workshop on Probabilistic and Statistical Methods - WPSM. Unidade: ICMC
Assuntos: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide F. da e BALAKRISHNAN, Narayanaswamy e BAZÁN GUZMÁN, Jorge Luis. The L-logistic distribution under Bayesian approach. 2017, Anais.. São Paulo, SP: Associação Brasileira de Estatística - ABE, 2017. p. 21. . Acesso em: 01 dez. 2025.
APA
Paz, R. F. da, Balakrishnan, N., & Bazán Guzmán, J. L. (2017). The L-logistic distribution under Bayesian approach. In Abstracts 5th WSPM (p. 21). São Paulo, SP: Associação Brasileira de Estatística - ABE.
NLM
Paz RF da, Balakrishnan N, Bazán Guzmán JL. The L-logistic distribution under Bayesian approach. Abstracts 5th WSPM. 2017 ; 21.[citado 2025 dez. 01 ]
Vancouver
Paz RF da, Balakrishnan N, Bazán Guzmán JL. The L-logistic distribution under Bayesian approach. Abstracts 5th WSPM. 2017 ; 21.[citado 2025 dez. 01 ]
Artigo de periodico
A cure rate survival model under a hybrid latent activation scheme (2016)
Borges, Patrick; Rodrigues, Josemar ; Louzada, Francisco ; Balakrishnan, Narayanaswamy
Fonte: Statistical Methods in Medical Research. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORGES, Patrick et al. A cure rate survival model under a hybrid latent activation scheme. Statistical Methods in Medical Research, v. 25, n. 2, p. 838-856, 2016Tradução . . Disponível em: https://doi.org/10.1177/0962280212469682. Acesso em: 01 dez. 2025.
APA
Borges, P., Rodrigues, J., Louzada, F., & Balakrishnan, N. (2016). A cure rate survival model under a hybrid latent activation scheme. Statistical Methods in Medical Research, 25( 2), 838-856. doi:10.1177/0962280212469682
NLM
Borges P, Rodrigues J, Louzada F, Balakrishnan N. A cure rate survival model under a hybrid latent activation scheme [Internet]. Statistical Methods in Medical Research. 2016 ; 25( 2): 838-856.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1177/0962280212469682
Vancouver
Borges P, Rodrigues J, Louzada F, Balakrishnan N. A cure rate survival model under a hybrid latent activation scheme [Internet]. Statistical Methods in Medical Research. 2016 ; 25( 2): 838-856.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1177/0962280212469682
Artigo de periodico
The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data (2016)
Rodrigues, Josemar ; Bazán Guzmán, Jorge Luis ; Suzuki, Adriano Kamimura ; Balakrishnan, Narayanaswamy
Fonte: Statistics and Probability Letters. Unidade: ICMC
Assuntos: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, v. 119, p. 281-288, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.08.020. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Bazán Guzmán, J. L., Suzuki, A. K., & Balakrishnan, N. (2016). The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, 119, 281-288. doi:10.1016/j.spl.2016.08.020
NLM
Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
Vancouver
Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
Artigo de periodico
Relaxed Poisson cure rate models (2016)
Rodrigues, Josemar ; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy
Fonte: Biometrical Journal. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. Relaxed Poisson cure rate models. Biometrical Journal, v. 58, n. 2, p. 397-415, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500051. Acesso em: 01 dez. 2025.
APA
Rodrigues, J., Cordeiro, G. M., Cancho, V. G., & Balakrishnan, N. (2016). Relaxed Poisson cure rate models. Biometrical Journal, 58( 2), 397-415. doi:10.1002/bimj.201500051
NLM
Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/bimj.201500051
Vancouver
Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1002/bimj.201500051

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