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Artigo de periodico
A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil (2021)
Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vasconcelos, J. S; Cordeiro, Gauss Moutinho ; Vivan, A. L; Biaggioni, M. A. M
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: CARBONIZAÇÃO, CONSTRUÇÃO CIVIL, DISTRIBUIÇÃO NORMAL, HETEROSCEDASTICIDADE, MADEIRA, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1890001. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vasconcelos, J. S., Cordeiro, G. M., Vivan, A. L., & Biaggioni, M. A. M. (2021). A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil. Journal of Applied Statistics. doi:10.1080/02664763.2021.1890001
NLM
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
Vancouver
Vasconcelos JCS, Ortega EMM, Vasconcelos JS, Cordeiro GM, Vivan AL, Biaggioni MAM. A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil [Internet]. Journal of Applied Statistics. 2021 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2021.1890001
Artigo de periodico
The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data (2020)
Vasconcelos, Julio Cezar Souza ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos
Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, CLIMATOLOGIA, DISTRIBUIÇÕES (PROBABILIDADE), ETANOL, INFERÊNCIA SEMIPARAMÉTRICA, MODELOS MATEMÁTICOS, PROCESSOS GAUSSIANOS, QUALIDADE DO AR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza e CORDEIRO, Gauss Moutinho e ORTEGA, Edwin Moises Marcos. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1803812. Acesso em: 19 nov. 2024.
APA
Vasconcelos, J. C. S., Cordeiro, G. M., & Ortega, E. M. M. (2020). The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data. Journal of Applied Statistics, 1-20. doi:10.1080/02664763.2020.1803812
NLM
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1803812
Vancouver
Vasconcelos JCS, Cordeiro GM, Ortega EMM. The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data [Internet]. Journal of Applied Statistics. 2020 ; 1-20.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2020.1803812
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 19 nov. 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 nov. 19 ] 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 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2018.1458216
Artigo de periodico
Modelling two types of heterogeneity in the analysis of student success (2019)
Cobre, Juliana ; Tortorelli, Fabiana Arca Cruz; Oliveira, Sandra Cristina de
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: SUCESSO ESCOLAR, HETEROGENEIDADE, EVASÃO ESCOLAR, TOMADA DE DECISÃO
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ABNT
COBRE, Juliana e TORTORELLI, Fabiana Arca Cruz e OLIVEIRA, Sandra Cristina de. Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, v. 46, n. 14, p. 2527-2539, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1601164. Acesso em: 19 nov. 2024.
APA
Cobre, J., Tortorelli, F. A. C., & Oliveira, S. C. de. (2019). Modelling two types of heterogeneity in the analysis of student success. Journal of Applied Statistics, 46( 14), 2527-2539. doi:10.1080/02664763.2019.1601164
NLM
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Vancouver
Cobre J, Tortorelli FAC, Oliveira SC de. Modelling two types of heterogeneity in the analysis of student success [Internet]. Journal of Applied Statistics. 2019 ; 46( 14): 2527-2539.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Artigo de periodico
A flexible semiparametric regression model for bimodal, asymmetric and censored data (2018)
Ramires, Thiago Gentil; Ortega, Edwin Moisés Marcos; Hens, Niel; Cordeiro, Gauss Moutinho ; Paula, Gilberto Alvarenga
Source: Journal of Applied Statistics. Unidades: ESALQ, IME
Subjects: FUNÇÕES SPLINE, REGRESSÃO LINEAR, MODELOS LINEARES GENERALIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMIRES, Thiago Gentil et al. A flexible semiparametric regression model for bimodal, asymmetric and censored data. Journal of Applied Statistics, v. 45, n. 7, p. 1303–1324, 2018Tradução . . Disponível em: https://doi.org/10.1080/02664763.2017.1369499. Acesso em: 19 nov. 2024.
APA
Ramires, T. G., Ortega, E. M. M., Hens, N., Cordeiro, G. M., & Paula, G. A. (2018). A flexible semiparametric regression model for bimodal, asymmetric and censored data. Journal of Applied Statistics, 45( 7), 1303–1324. doi:10.1080/02664763.2017.1369499
NLM
Ramires TG, Ortega EMM, Hens N, Cordeiro GM, Paula GA. A flexible semiparametric regression model for bimodal, asymmetric and censored data [Internet]. Journal of Applied Statistics. 2018 ; 45( 7): 1303–1324.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2017.1369499
Vancouver
Ramires TG, Ortega EMM, Hens N, Cordeiro GM, Paula GA. A flexible semiparametric regression model for bimodal, asymmetric and censored data [Internet]. Journal of Applied Statistics. 2018 ; 45( 7): 1303–1324.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2017.1369499
Artigo de periodico
Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures (2014)
Louzada, Francisco ; Castro, Mário de ; Tomazella, Vera ; Gonzales, Jhon F. B
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, v. 41, n. 3, p. 622-634, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.847067. Acesso em: 19 nov. 2024.
APA
Louzada, F., Castro, M. de, Tomazella, V., & Gonzales, J. F. B. (2014). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics, 41( 3), 622-634. doi:10.1080/02664763.2013.847067
NLM
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2013.847067
Vancouver
Louzada F, Castro M de, Tomazella V, Gonzales JFB. Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures [Internet]. Journal of Applied Statistics. 2014 ; 41( 3): 622-634.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2013.847067
Artigo de periodico
Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions (2014)
Fioruci, José Augusto; Ehlers, Ricardo Sandes ; Andrade, Marinho Gomes de
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, ANÁLISE MULTIVARIADA, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORUCI, José Augusto e EHLERS, Ricardo Sandes e ANDRADE, Marinho Gomes de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, v. 41, n. 2, p. 320-331, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2013.839635. Acesso em: 19 nov. 2024.
APA
Fioruci, J. A., Ehlers, R. S., & Andrade, M. G. de. (2014). Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions. Journal of Applied Statistics, 41( 2), 320-331. doi:10.1080/02664763.2013.839635
NLM
Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2013.839635
Vancouver
Fioruci JA, Ehlers RS, Andrade MG de. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions [Internet]. Journal of Applied Statistics. 2014 ; 41( 2): 320-331.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664763.2013.839635
Artigo de periodico
Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach (2007)
Cuesta-Albertos, Juan Antonio ; Fraiman, Ricardo ; Galves, Antonio ; Galea Rojas, Manuel Jesus; Svarc, Marcela
Source: Journal of Applied Statistics. Unidade: IME
Assunto: ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUESTA-ALBERTOS, Juan Antonio et al. Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach. Journal of Applied Statistics, v. 34, n. 6, p. 749-761, 2007Tradução . . Disponível em: https://doi.org/10.1080/02664760701237077. Acesso em: 19 nov. 2024.
APA
Cuesta-Albertos, J. A., Fraiman, R., Galves, A., Galea Rojas, M. J., & Svarc, M. (2007). Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach. Journal of Applied Statistics, 34( 6), 749-761. doi:10.1080/02664760701237077
NLM
Cuesta-Albertos JA, Fraiman R, Galves A, Galea Rojas MJ, Svarc M. Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach [Internet]. Journal of Applied Statistics. 2007 ; 34( 6): 749-761.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664760701237077
Vancouver
Cuesta-Albertos JA, Fraiman R, Galves A, Galea Rojas MJ, Svarc M. Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach [Internet]. Journal of Applied Statistics. 2007 ; 34( 6): 749-761.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1080/02664760701237077

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