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Artigo de periodico
Regression modeling of censored data based on compound scale mixtures of normal distributions (2023)
Benites, Luis ; Zeller, Camila Borelli ; Bolfarine, Heleno ; Lachos, Victor Hugo
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 13 nov. 2024.
APA
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
NLM
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 nov. 13 ] 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 nov. 13 ] Available from: https://doi.org/10.1214/22-BJPS551
Artigo de periodico
A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions (2021)
Maehara, Rocío ; Bolfarine, Heleno ; Vilca, Filidor ; Balakrishnan, N.
Source: Metrika. Unidade: IME
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAEHARA, Rocío et al. A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions. Metrika, v. 84, p. 1049-1080, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00184-021-00815-4. Acesso em: 13 nov. 2024.
APA
Maehara, R., Bolfarine, H., Vilca, F., & Balakrishnan, N. (2021). A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions. Metrika, 84, 1049-1080. doi:10.1007/s00184-021-00815-4
NLM
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions [Internet]. Metrika. 2021 ; 84 1049-1080.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00184-021-00815-4
Vancouver
Maehara R, Bolfarine H, Vilca F, Balakrishnan N. A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions [Internet]. Metrika. 2021 ; 84 1049-1080.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00184-021-00815-4
Artigo de periodico
Linear regression models using finite mixtures of skew heavy-tailed distributions (2019)
Benites, Luis ; Maehara, Rocío ; Lachos, Victor Hugo ; Bolfarine, Heleno
Source: Chilean Journal of Statistics. Unidade: IME
Subjects: REGRESSÃO LINEAR, DISTRIBUIÇÃO NORMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENITES, Luis et al. Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, v. 10, n. 1, p. 21-41 , 2019Tradução . . Disponível em: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf. Acesso em: 13 nov. 2024.
APA
Benites, L., Maehara, R., Lachos, V. H., & Bolfarine, H. (2019). Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, 10( 1), 21-41 . Recuperado de http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf
NLM
Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2024 nov. 13 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf
Vancouver
Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2024 nov. 13 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf
Artigo de periodico
Sensitivity analysis of prior specification for the probit-normal IRT model: an emperical study (2006)
Bazán Guzmán, Jorge Luis ; Bolfarine, Heleno ; Leandro, Roseli Aparecida
Source: Estatística. Unidades: ESALQ, IME
Subjects: INFERÊNCIA BAYESIANA, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZÁN GUZMÁN, Jorge Luis e BOLFARINE, Heleno e LEANDRO, Roseli Aparecida. Sensitivity analysis of prior specification for the probit-normal IRT model: an emperical study. Estatística, v. 58, n. 170/171, p. 17-42, 2006Tradução . . Disponível em: http://argos.pucp.edu.pe/~jlbazan/download/bazanestadistica.pdf. Acesso em: 13 nov. 2024.
APA
Bazán Guzmán, J. L., Bolfarine, H., & Leandro, R. A. (2006). Sensitivity analysis of prior specification for the probit-normal IRT model: an emperical study. Estatística, 58( 170/171), 17-42. Recuperado de http://argos.pucp.edu.pe/~jlbazan/download/bazanestadistica.pdf
NLM
Bazán Guzmán JL, Bolfarine H, Leandro RA. Sensitivity analysis of prior specification for the probit-normal IRT model: an emperical study [Internet]. Estatística. 2006 ; 58( 170/171): 17-42.[citado 2024 nov. 13 ] Available from: http://argos.pucp.edu.pe/~jlbazan/download/bazanestadistica.pdf
Vancouver
Bazán Guzmán JL, Bolfarine H, Leandro RA. Sensitivity analysis of prior specification for the probit-normal IRT model: an emperical study [Internet]. Estatística. 2006 ; 58( 170/171): 17-42.[citado 2024 nov. 13 ] Available from: http://argos.pucp.edu.pe/~jlbazan/download/bazanestadistica.pdf
Relatorio tecnico
A generalized skew probit class link for binary regression (2006)
Bazán Guzmán, Jorge Luis ; Bolfarine, Heleno ; Branco, Marcia D'Elia
Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZÁN GUZMÁN, Jorge Luis e BOLFARINE, Heleno e BRANCO, Marcia D'Elia. A generalized skew probit class link for binary regression. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/3f1959b9-ecb9-4104-8e5a-fc8d692249fd/1537239.pdf. Acesso em: 13 nov. 2024. , 2006
APA
Bazán Guzmán, J. L., Bolfarine, H., & Branco, M. D. 'E. (2006). A generalized skew probit class link for binary regression. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/3f1959b9-ecb9-4104-8e5a-fc8d692249fd/1537239.pdf
NLM
Bazán Guzmán JL, Bolfarine H, Branco MD'E. A generalized skew probit class link for binary regression [Internet]. 2006 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/3f1959b9-ecb9-4104-8e5a-fc8d692249fd/1537239.pdf
Vancouver
Bazán Guzmán JL, Bolfarine H, Branco MD'E. A generalized skew probit class link for binary regression [Internet]. 2006 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/3f1959b9-ecb9-4104-8e5a-fc8d692249fd/1537239.pdf
Artigo de periodico
Inference under representable priors for Pearson type II models in finite populations (2003)
Bolfarine, Heleno ; Gasco, Loretta B; Zuazola, Pilar Loreto Iglesias
Source: Journal of Statistical Planning and Inference. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOLFARINE, Heleno e GASCO, Loretta B e ZUAZOLA, Pilar Loreto Iglesias. Inference under representable priors for Pearson type II models in finite populations. Journal of Statistical Planning and Inference, v. 111, n. 1-2, p. 23-36, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0378-3758(02)00283-5. Acesso em: 13 nov. 2024.
APA
Bolfarine, H., Gasco, L. B., & Zuazola, P. L. I. (2003). Inference under representable priors for Pearson type II models in finite populations. Journal of Statistical Planning and Inference, 111( 1-2), 23-36. doi:10.1016/s0378-3758(02)00283-5
NLM
Bolfarine H, Gasco LB, Zuazola PLI. Inference under representable priors for Pearson type II models in finite populations [Internet]. Journal of Statistical Planning and Inference. 2003 ; 111( 1-2): 23-36.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/s0378-3758(02)00283-5
Vancouver
Bolfarine H, Gasco LB, Zuazola PLI. Inference under representable priors for Pearson type II models in finite populations [Internet]. Journal of Statistical Planning and Inference. 2003 ; 111( 1-2): 23-36.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/s0378-3758(02)00283-5
Trabalho de evento
Pearson type II errors-in-variables models (1999)
Bolfarine, Heleno ; Gasco, Loretta B.; Zuazola, Pilar Loreto Iglesias
Conference titles: International Meetingon Bayesian Statistica. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOLFARINE, Heleno e GASCO, Loretta B. e ZUAZOLA, Pilar Loreto Iglesias. Pearson type II errors-in-variables models. 1999, Anais.. New York: Oxford University Press, 1999. Disponível em: https://repositorio.usp.br/directbitstream/53c10a64-4124-4ad5-b990-fd6c076c4299/1074932.pdf. Acesso em: 13 nov. 2024.
APA
Bolfarine, H., Gasco, L. B., & Zuazola, P. L. I. (1999). Pearson type II errors-in-variables models. In . New York: Oxford University Press. Recuperado de https://repositorio.usp.br/directbitstream/53c10a64-4124-4ad5-b990-fd6c076c4299/1074932.pdf
NLM
Bolfarine H, Gasco LB, Zuazola PLI. Pearson type II errors-in-variables models [Internet]. 1999 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/53c10a64-4124-4ad5-b990-fd6c076c4299/1074932.pdf
Vancouver
Bolfarine H, Gasco LB, Zuazola PLI. Pearson type II errors-in-variables models [Internet]. 1999 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/53c10a64-4124-4ad5-b990-fd6c076c4299/1074932.pdf
Relatorio tecnico
Pearson type II measurement error models (1997)
Zuazola, Pilar Loreto Iglesias; Campos, Loretta Betzabe Rosa Gasco; Bolfarine, Heleno
Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUAZOLA, Pilar Loreto Iglesias e CAMPOS, Loretta Betzabe Rosa Gasco e BOLFARINE, Heleno. Pearson type II measurement error models. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/7021b60b-7bc3-45e2-8742-df4703bbf1f0/978404.pdf. Acesso em: 13 nov. 2024. , 1997
APA
Zuazola, P. L. I., Campos, L. B. R. G., & Bolfarine, H. (1997). Pearson type II measurement error models. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/7021b60b-7bc3-45e2-8742-df4703bbf1f0/978404.pdf
NLM
Zuazola PLI, Campos LBRG, Bolfarine H. Pearson type II measurement error models [Internet]. 1997 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/7021b60b-7bc3-45e2-8742-df4703bbf1f0/978404.pdf
Vancouver
Zuazola PLI, Campos LBRG, Bolfarine H. Pearson type II measurement error models [Internet]. 1997 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/7021b60b-7bc3-45e2-8742-df4703bbf1f0/978404.pdf

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