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Artigo de periodico
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures (2024)
Egbon, Osafu Augustine ; Gayawan, Ezra
Source: Journal of Applied Statistics. Unidade: INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ESTATÍSTICA APLICADA, FATORES SOCIOECONÔMICOS, DIAGNÓSTICO PRÉ-NATAL
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ABNT
EGBON, Osafu Augustine e GAYAWAN, Ezra. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, v. 51, n. 5, p. 866-890, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2164561. Acesso em: 17 out. 2024.
APA
Egbon, O. A., & Gayawan, E. (2024). Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures. Journal of Applied Statistics, 51( 5), 866-890. doi:10.1080/02664763.2022.2164561
NLM
Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
Vancouver
Egbon OA, Gayawan E. Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 866-890.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
Artigo de periodico
The generalized odd log-logistic-G regression with interval-censored survival data (2024)
Vigas, Valdemiro Piedade ; Ortega, Edwin Moises Marcos ; Suzuki, Adriano Kamimura ; Cordeiro, Gauss Moutinho ; Santos Junior, Paulo Cerqueira
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DADOS CENSURADOS, INFERÊNCIA BAYESIANA, REGRESSÃO LOGÍSTICA
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ABNT
VIGAS, Valdemiro Piedade et al. The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, v. 51, n. 9, p. 2024, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2230533. Acesso em: 17 out. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Suzuki, A. K., Cordeiro, G. M., & Santos Junior, P. C. (2024). The generalized odd log-logistic-G regression with interval-censored survival data. Journal of Applied Statistics, 51( 9), 2024. doi:10.1080/02664763.2023.2230533
NLM
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Vancouver
Vigas VP, Ortega EMM, Suzuki AK, Cordeiro GM, Santos Junior PC. The generalized odd log-logistic-G regression with interval-censored survival data [Internet]. Journal of Applied Statistics. 2024 ; 51( 9): 2024.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2230533
Artigo de periodico
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 (2023)
Saraiva, Erlandson Ferreira ; Sauer, Leandro ; Pereira, Carlos Alberto de Bragança
Source: Journal of Applied Statistics. Unidade: IME
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, COVID-19
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ABNT
SARAIVA, Erlandson Ferreira e SAUER, Leandro e PEREIRA, Carlos Alberto de Bragança. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, v. 50, n. 10, p. 2194-2208, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2070136. Acesso em: 17 out. 2024.
APA
Saraiva, E. F., Sauer, L., & Pereira, C. A. de B. (2023). A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19. Journal of Applied Statistics, 50( 10), 2194-2208. doi:10.1080/02664763.2022.2070136
NLM
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
Vancouver
Saraiva EF, Sauer L, Pereira CA de B. A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 [Internet]. Journal of Applied Statistics. 2023 ; 50( 10): 2194-2208.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2022.2070136
Artigo de periodico
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme (2023)
Peralta, Danielle; Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, DADOS CENSURADOS
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ABNT
PERALTA, Danielle e OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, v. 51, n. 9, p. 1772-1791, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2023.2235093. Acesso em: 17 out. 2024.
APA
Peralta, D., Oliveira, R. P. de, & Achcar, J. A. (2023). A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of Applied Statistics, 51( 9), 1772-1791. doi:10.1080/02664763.2023.2235093
NLM
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Vancouver
Peralta D, Oliveira RP de, Achcar JA. A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme [Internet]. Journal of Applied Statistics. 2023 ; 51( 9): 1772-1791.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2023.2235093
Artigo de periodico
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2023)
Paz, Rosineide Fernando da ; Bazán Guzmán, Jorge Luis ; Lachos, Victor Hugo ; Dey, Dipak Kumar
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, CLUSTERS
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ABNT
PAZ, Rosineide Fernando da et al. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, v. 50, n. 4, p. 871-888, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1998392. Acesso em: 17 out. 2024.
APA
Paz, R. F. da, Bazán Guzmán, J. L., Lachos, V. H., & Dey, D. K. (2023). A finite mixture mixed proportion regression model for classification problems in longitudinal voting data. Journal of Applied Statistics, 50( 4), 871-888. doi:10.1080/02664763.2021.1998392
NLM
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Vancouver
Paz RF da, Bazán Guzmán JL, Lachos VH, Dey DK. A finite mixture mixed proportion regression model for classification problems in longitudinal voting data [Internet]. Journal of Applied Statistics. 2023 ; 50( 4): 871-888.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Artigo de periodico
Accurate estimation for extra-Poisson variability assuming random effect models (2021)
Oliveira, Ricardo Puziol de; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE ESTATÍSTICA DE DADOS, DISTRIBUIÇÃO BINOMIAL
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ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, v. 48, n. 16, p. 2982-3001, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1789075. Acesso em: 17 out. 2024.
APA
Oliveira, R. P. de, & Achcar, J. A. (2021). Accurate estimation for extra-Poisson variability assuming random effect models. Journal of Applied Statistics, 48( 16), 2982-3001. doi:10.1080/02664763.2020.1789075
NLM
Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
Vancouver
Oliveira RP de, Achcar JA. Accurate estimation for extra-Poisson variability assuming random effect models [Internet]. Journal of Applied Statistics. 2021 ; 48( 16): 2982-3001.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2020.1789075
Artigo de periodico
The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis (2020)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Kattan, Michael W
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DADOS CATEGORIZADOS, INFERÊNCIA BAYESIANA, TRANSPLANTE DE RIM
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ABNT
HASHIMOTO, Elisabeth Mie et al. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, v. 47, n. 12, p. 2159–2177, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1706725. Acesso em: 17 out. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Kattan, M. W. (2020). The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, 47( 12), 2159–2177. doi:10.1080/02664763.2019.1706725
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Artigo de periodico
Bayesian estimation of a flexible bifactor generalized partial credit model to survey data (2019)
Silva, Marcelo Andrade da ; Huggins-Manley, Anne Corinne ; Mazzon, José Afonso ; Bazán Guzmán, Jorge Luis
Source: Journal of Applied Statistics. Unidades: FEA, ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MÉTODO DE MONTE CARLO, ANÁLISE DE DADOS, CRÉDITO
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ABNT
SILVA, Marcelo Andrade da et al. Bayesian estimation of a flexible bifactor generalized partial credit model to survey data. Journal of Applied Statistics, v. 46, n. 13, p. 2372-2387, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1592125. Acesso em: 17 out. 2024.
APA
Silva, M. A. da, Huggins-Manley, A. C., Mazzon, J. A., & Bazán Guzmán, J. L. (2019). Bayesian estimation of a flexible bifactor generalized partial credit model to survey data. Journal of Applied Statistics, 46( 13), 2372-2387. doi:10.1080/02664763.2019.1592125
NLM
Silva MA da, Huggins-Manley AC, Mazzon JA, Bazán Guzmán JL. Bayesian estimation of a flexible bifactor generalized partial credit model to survey data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2372-2387.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2019.1592125
Vancouver
Silva MA da, Huggins-Manley AC, Mazzon JA, Bazán Guzmán JL. Bayesian estimation of a flexible bifactor generalized partial credit model to survey data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2372-2387.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2019.1592125
Artigo de periodico
Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion (2019)
Bourguignon, Marcelo; Rodrigues, Josemar ; Santos-Neto, Manoel
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, DISTRIBUIÇÃO DE POISSON, MODELOS LINEARES GENERALIZADOS, PROCESSOS ESTOCÁSTICOS, PROCESSOS DE CONTAGEM, DADOS DE CONTAGEM, REGRESSÃO LOGÍSTICA
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ABNT
BOURGUIGNON, Marcelo e RODRIGUES, Josemar e SANTOS-NETO, Manoel. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics, v. Fe 2019, n. 1, p. 101-118, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1458216. Acesso em: 17 out. 2024.
APA
Bourguignon, M., Rodrigues, J., & Santos-Neto, M. (2019). Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics, Fe 2019( 1), 101-118. doi:10.1080/02664763.2018.1458216
NLM
Bourguignon M, Rodrigues J, Santos-Neto M. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion [Internet]. Journal of Applied Statistics. 2019 ; Fe 2019( 1): 101-118.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2018.1458216
Vancouver
Bourguignon M, Rodrigues J, Santos-Neto M. Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion [Internet]. Journal of Applied Statistics. 2019 ; Fe 2019( 1): 101-118.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2018.1458216
Artigo de periodico
Heteroscedastic log-exponentiated Weibull regression model (2018)
Ortega, Edwin Moisés Marcos ; Lemonte, Artur José; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Mialhe, Fábio L
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS LINEARES GENERALIZADOS, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
ORTEGA, Edwin Moisés Marcos et al. Heteroscedastic log-exponentiated Weibull regression model. Journal of Applied Statistics, v. 45, n. 3, p. 384-408, 2018Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1277192. Acesso em: 17 out. 2024.
APA
Ortega, E. M. M., Lemonte, A. J., Cordeiro, G. M., Cancho, V. G., & Mialhe, F. L. (2018). Heteroscedastic log-exponentiated Weibull regression model. Journal of Applied Statistics, 45( 3), 384-408. doi:10.1080/02664763.2016.1277192
NLM
Ortega EMM, Lemonte AJ, Cordeiro GM, Cancho VG, Mialhe FL. Heteroscedastic log-exponentiated Weibull regression model [Internet]. Journal of Applied Statistics. 2018 ; 45( 3): 384-408.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1277192
Vancouver
Ortega EMM, Lemonte AJ, Cordeiro GM, Cancho VG, Mialhe FL. Heteroscedastic log-exponentiated Weibull regression model [Internet]. Journal of Applied Statistics. 2018 ; 45( 3): 384-408.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1277192
Artigo de periodico
Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach (2017)
Ara, Anderson; Louzada, Francisco ; Diniz, Carlos A. R.
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MODELOS EM SÉRIES TEMPORAIS, INFERÊNCIA ESTATÍSTICA
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ABNT
ARA, Anderson e LOUZADA, Francisco e DINIZ, Carlos A. R. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach. Journal of Applied Statistics, v. 44, n. 13, p. 2287-2300, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1238041. Acesso em: 17 out. 2024.
APA
Ara, A., Louzada, F., & Diniz, C. A. R. (2017). Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach. Journal of Applied Statistics, 44( 13), 2287-2300. doi:10.1080/02664763.2016.1238041
NLM
Ara A, Louzada F, Diniz CAR. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach [Internet]. Journal of Applied Statistics. 2017 ; 44( 13): 2287-2300.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1238041
Vancouver
Ara A, Louzada F, Diniz CAR. Statistical monitoring of a web server for error rates: a bivariate time-series copula-based modeling approach [Internet]. Journal of Applied Statistics. 2017 ; 44( 13): 2287-2300.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1238041
Artigo de periodico
Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil (2017)
Paz, Rosineide Fernando da; Bazán Guzmán, Jorge Luis ; Milan, Luis Aparecido
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAZ, Rosineide Fernando da e BAZÁN GUZMÁN, Jorge Luis e MILAN, Luis Aparecido. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil. Journal of Applied Statistics, v. 44, n. 9, p. 1630-1643, 2017Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1221903. Acesso em: 17 out. 2024.
APA
Paz, R. F. da, Bazán Guzmán, J. L., & Milan, L. A. (2017). Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil. Journal of Applied Statistics, 44( 9), 1630-1643. doi:10.1080/02664763.2016.1221903
NLM
Paz RF da, Bazán Guzmán JL, Milan LA. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil [Internet]. Journal of Applied Statistics. 2017 ; 44( 9): 1630-1643.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1221903
Vancouver
Paz RF da, Bazán Guzmán JL, Milan LA. Bayesian estimation for a mixture of simplex distributions with an unknown number of components Brazil: HDI analysis in Brazil [Internet]. Journal of Applied Statistics. 2017 ; 44( 9): 1630-1643.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1221903
Artigo de periodico
Partitioning gene expression data by data-driven Markov chain Monte Carlo (2016)
Saraiva, E. F; Suzuki, Adriano Kamimura ; Louzada, Francisco ; Milan, Luis
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, E. F et al. Partitioning gene expression data by data-driven Markov chain Monte Carlo. Journal of Applied Statistics, v. 43, n. 6, p. 1155-1173, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1092113. Acesso em: 17 out. 2024.
APA
Saraiva, E. F., Suzuki, A. K., Louzada, F., & Milan, L. (2016). Partitioning gene expression data by data-driven Markov chain Monte Carlo. Journal of Applied Statistics, 43( 6), 1155-1173. doi:10.1080/02664763.2015.1092113
NLM
Saraiva EF, Suzuki AK, Louzada F, Milan L. Partitioning gene expression data by data-driven Markov chain Monte Carlo [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1155-1173.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1092113
Vancouver
Saraiva EF, Suzuki AK, Louzada F, Milan L. Partitioning gene expression data by data-driven Markov chain Monte Carlo [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1155-1173.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1092113
Artigo de periodico
Bayesian analysis of generalized elliptical semi-parametric models (2016)
Rondon, Luz Marina; Bolfarine, Heleno
Source: Journal of Applied Statistics. Unidade: IME
Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA
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ABNT
RONDON, Luz Marina e BOLFARINE, Heleno. Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, v. 43, n. 8, p. 1508–1524, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1109070. Acesso em: 17 out. 2024.
APA
Rondon, L. M., & Bolfarine, H. (2016). Bayesian analysis of generalized elliptical semi-parametric models. Journal of Applied Statistics, 43( 8), 1508–1524. doi:10.1080/02664763.2015.1109070
NLM
Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
Vancouver
Rondon LM, Bolfarine H. Bayesian analysis of generalized elliptical semi-parametric models [Internet]. Journal of Applied Statistics. 2016 ; 43( 8): 1508–1524.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1109070
Artigo de periodico
Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes (2016)
Yiqi, Bao; Russo, Cibele Maria ; Cancho, Vicente Garibay ; Louzada, Francisco
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
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ABNT
YIQI, Bao et al. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, v. 43, n. 6, p. 1027-1060, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1089221. Acesso em: 17 out. 2024.
APA
Yiqi, B., Russo, C. M., Cancho, V. G., & Louzada, F. (2016). Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes. Journal of Applied Statistics, 43( 6), 1027-1060. doi:10.1080/02664763.2015.1089221
NLM
Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
Vancouver
Yiqi B, Russo CM, Cancho VG, Louzada F. Influence diagnostics for the Weibull-Negative- Binomial regression model with cure rate under latent failure causes [Internet]. Journal of Applied Statistics. 2016 ; 43( 6): 1027-1060.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1089221
Artigo de periodico
Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model (2016)
Louzada, Francisco ; Ferreira, P. H
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
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ABNT
LOUZADA, Francisco e FERREIRA, P. H. Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model. Journal of Applied Statistics, v. 43, n. 16, p. 2956-2976, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1155204. Acesso em: 17 out. 2024.
APA
Louzada, F., & Ferreira, P. H. (2016). Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model. Journal of Applied Statistics, 43( 16), 2956-2976. doi:10.1080/02664763.2016.1155204
NLM
Louzada F, Ferreira PH. Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model [Internet]. Journal of Applied Statistics. 2016 ; 43( 16): 2956-2976.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1155204
Vancouver
Louzada F, Ferreira PH. Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model [Internet]. Journal of Applied Statistics. 2016 ; 43( 16): 2956-2976.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2016.1155204
Artigo de periodico
Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data (2016)
Cancho, Vicente Garibay ; Dey, Dipak K.; Louzada, Francisco
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay e DEY, Dipak K. e LOUZADA, Francisco. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data. Journal of Applied Statistics, v. 43, n. 3, p. 572-584, 2016Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1071341. Acesso em: 17 out. 2024.
APA
Cancho, V. G., Dey, D. K., & Louzada, F. (2016). Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data. Journal of Applied Statistics, 43( 3), 572-584. doi:10.1080/02664763.2015.1071341
NLM
Cancho VG, Dey DK, Louzada F. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data [Internet]. Journal of Applied Statistics. 2016 ; 43( 3): 572-584.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1071341
Vancouver
Cancho VG, Dey DK, Louzada F. Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data [Internet]. Journal of Applied Statistics. 2016 ; 43( 3): 572-584.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1071341
Artigo de periodico
Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model (2015)
Garay, Aldo M; Lachos, Victor Hugo; Bolfarine, Heleno
Source: Journal of Applied Statistics. Unidade: IME
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARAY, Aldo M e LACHOS, Victor Hugo e BOLFARINE, Heleno. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model. Journal of Applied Statistics, v. 42, n. 6, p. 1148-1165, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.995610. Acesso em: 17 out. 2024.
APA
Garay, A. M., Lachos, V. H., & Bolfarine, H. (2015). Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model. Journal of Applied Statistics, 42( 6), 1148-1165. doi:10.1080/02664763.2014.995610
NLM
Garay AM, Lachos VH, Bolfarine H. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model [Internet]. Journal of Applied Statistics. 2015 ; 42( 6): 1148-1165.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2014.995610
Vancouver
Garay AM, Lachos VH, Bolfarine H. Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model [Internet]. Journal of Applied Statistics. 2015 ; 42( 6): 1148-1165.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2014.995610
Artigo de periodico
The Poisson-exponential model for recurrent event data: an application to bowel motility data (2015)
Louzada, Francisco ; Macera, Marcia A. C; Cancho, Vicente Garibay
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e MACERA, Marcia A. C e CANCHO, Vicente Garibay. The Poisson-exponential model for recurrent event data: an application to bowel motility data. Journal of Applied Statistics, v. 42, n. 11, p. 2353-2366, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1030369. Acesso em: 17 out. 2024.
APA
Louzada, F., Macera, M. A. C., & Cancho, V. G. (2015). The Poisson-exponential model for recurrent event data: an application to bowel motility data. Journal of Applied Statistics, 42( 11), 2353-2366. doi:10.1080/02664763.2015.1030369
NLM
Louzada F, Macera MAC, Cancho VG. The Poisson-exponential model for recurrent event data: an application to bowel motility data [Internet]. Journal of Applied Statistics. 2015 ; 42( 11): 2353-2366.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1030369
Vancouver
Louzada F, Macera MAC, Cancho VG. The Poisson-exponential model for recurrent event data: an application to bowel motility data [Internet]. Journal of Applied Statistics. 2015 ; 42( 11): 2353-2366.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1030369
Artigo de periodico
Bayesian analysis of censored linear regression models with scale mixtures of normal distributions (2015)
Garay, Aldo M; Bolfarine, Heleno ; Lachos, Victor Hugo; Cabral, Celso Rômulo Barbosa
Source: Journal of Applied Statistics. Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARAY, Aldo M et al. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, v. 42, n. 12, p. 2694-2714, 2015Tradução . . Disponível em: https://doi.org/10.1080/02664763.2015.1048671. Acesso em: 17 out. 2024.
APA
Garay, A. M., Bolfarine, H., Lachos, V. H., & Cabral, C. R. B. (2015). Bayesian analysis of censored linear regression models with scale mixtures of normal distributions. Journal of Applied Statistics, 42( 12), 2694-2714. doi:10.1080/02664763.2015.1048671
NLM
Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1048671
Vancouver
Garay AM, Bolfarine H, Lachos VH, Cabral CRB. Bayesian analysis of censored linear regression models with scale mixtures of normal distributions [Internet]. Journal of Applied Statistics. 2015 ; 42( 12): 2694-2714.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2015.1048671

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