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Artigo de periodico
A new flexible regression model with application to recovery probability Covid-19 patients (2024)
Prataviera, Fabio ; Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Vila, Roberto
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 12 ago. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2164561
Artigo de periodico
Ultrastructural calibration model for proficiency testing (2023)
Aoki, Reiko ; Leão, Dorival; Bustamante, Juan Pablo Mamani; Vilca, Filidor
Source: Journal of Applied Statistics. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: TEORIA ASSINTÓTICA, EDUÇÃO DE HIPÓTESES, LABORATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AOKI, Reiko et al. Ultrastructural calibration model for proficiency testing. Journal of Applied Statistics, v. 50, n. 5, p. 1037-1059, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.2012563. Acesso em: 12 ago. 2024.
APA
Aoki, R., Leão, D., Bustamante, J. P. M., & Vilca, F. (2023). Ultrastructural calibration model for proficiency testing. Journal of Applied Statistics, 50( 5), 1037-1059. doi:10.1080/02664763.2021.2012563
NLM
Aoki R, Leão D, Bustamante JPM, Vilca F. Ultrastructural calibration model for proficiency testing [Internet]. Journal of Applied Statistics. 2023 ; 50( 5): 1037-1059.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
Vancouver
Aoki R, Leão D, Bustamante JPM, Vilca F. Ultrastructural calibration model for proficiency testing [Internet]. Journal of Applied Statistics. 2023 ; 50( 5): 1037-1059.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.2012563
Artigo de periodico
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil (2023)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Silva, I
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, DADOS CENSURADOS, MODELOS MATEMÁTICOS, SISTEMA ÚNICO DE SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, v. 50, n. 8, p. 1665-1685, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 12 ago. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2023). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, 50( 8), 1665-1685. doi:10.1080/02664763.2022.2036707
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1998392
Artigo de periodico
A new regression model for rates and proportions data with applications (2022)
Prataviera, Fabio ; Cordeiro, Gauss Moutinho ; Ortega, Edwin Moises Marcos ; Hashimoto, Elisabeth Mie ; Cancho, Vicente Garibay
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new regression model for rates and proportions data with applications. Journal of Applied Statistics, v. 49, n. 2, p. 4137-4161, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1973385. Acesso em: 12 ago. 2024.
APA
Prataviera, F., Cordeiro, G. M., Ortega, E. M. M., Hashimoto, E. M., & Cancho, V. G. (2022). A new regression model for rates and proportions data with applications. Journal of Applied Statistics, 49( 2), 4137-4161. doi:10.1080/02664763.2021.1973385
NLM
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Vancouver
Prataviera F, Cordeiro GM, Ortega EMM, Hashimoto EM, Cancho VG. A new regression model for rates and proportions data with applications [Internet]. Journal of Applied Statistics. 2022 ; 49( 2): 4137-4161.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1973385
Artigo de periodico
The new Neyman type A generalized odd loglogistic- G-family with cure fraction (2022)
Vigas, Valdemiro Piedade ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Silva, Giovana Oliveira
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIGAS, Valdemiro Piedade et al. The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, v. 49, n. 11, p. 2805-2824, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1922994. Acesso em: 12 ago. 2024.
APA
Vigas, V. P., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Silva, G. O. (2022). The new Neyman type A generalized odd loglogistic- G-family with cure fraction. Journal of Applied Statistics, 49( 11), 2805-2824. doi:10.1080/02664763.2021.1922994
NLM
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
Vancouver
Vigas VP, Ortega EMM, Cordeiro GM, Suzuki AK, Silva GO. The new Neyman type A generalized odd loglogistic- G-family with cure fraction [Internet]. Journal of Applied Statistics. 2022 ; 49( 11): 2805-2824.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1922994
Artigo de periodico
The log-normal zero-inflated cure regression model for labor time in an African obstetric population (2022)
Souza, Hayala Cristina Cavenague de; Louzada, Francisco ; Oliveira, Mauro Ribeiro de ; Fawole, Bukola ; Akintan, Adesina ; Oyeneyin, Lawal ; Sanni, Wilfred; Perdona, Gleici da Silva Castro
Source: Journal of Applied Statistics. Unidades: ICMC, FMRP
Subjects: PARTO, ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, EDUCAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Hayala Cristina Cavenague de et al. The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, v. 49, n. 9, p. 2416-2429, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1896684. Acesso em: 12 ago. 2024.
APA
Souza, H. C. C. de, Louzada, F., Oliveira, M. R. de, Fawole, B., Akintan, A., Oyeneyin, L., et al. (2022). The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, 49( 9), 2416-2429. doi:10.1080/02664763.2021.1896684
NLM
Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
Vancouver
Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
Artigo de periodico
Augmented-limited regression models with an application to the study of the risk perceived using continuous scales (2021)
Silva, Ana R. S; Azevedo, Caio Lucidius Naberezny ; Bazán Guzmán, Jorge Luis ; Nobre, Juvêncio Santos
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: MODELAGEM DE DADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ana R. S et al. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, v. 48, n. 11, p. 1998-2021, 2021Tradução . . Disponível em: https://doi.org/10.1080/02664763.2020.1783518. Acesso em: 12 ago. 2024.
APA
Silva, A. R. S., Azevedo, C. L. N., Bazán Guzmán, J. L., & Nobre, J. S. (2021). Augmented-limited regression models with an application to the study of the risk perceived using continuous scales. Journal of Applied Statistics, 48( 11), 1998-2021. doi:10.1080/02664763.2020.1783518
NLM
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2020.1783518
Vancouver
Silva ARS, Azevedo CLN, Bazán Guzmán JL, Nobre JS. Augmented-limited regression models with an application to the study of the risk perceived using continuous scales [Internet]. Journal of Applied Statistics. 2021 ; 48( 11): 1998-2021.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2020.1783518
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
Artigo de periodico
An extended poisson family of life distribution: a unified approach in competitive and complementary risks (2020)
Ramos, Pedro Luiz ; Dey, Dipak Kumar; Louzada, Francisco ; Lachos, Victor Hugo
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE SOBREVIVÊNCIA, DISTRIBUIÇÃO DE POISSON, FALHA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Pedro Luiz et al. An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, v. 47, n. 2, p. 306-322, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1644488. Acesso em: 12 ago. 2024.
APA
Ramos, P. L., Dey, D. K., Louzada, F., & Lachos, V. H. (2020). An extended poisson family of life distribution: a unified approach in competitive and complementary risks. Journal of Applied Statistics, 47( 2), 306-322. doi:10.1080/02664763.2019.1644488
NLM
Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
Vancouver
Ramos PL, Dey DK, Louzada F, Lachos VH. An extended poisson family of life distribution: a unified approach in competitive and complementary risks [Internet]. Journal of Applied Statistics. 2020 ; 47( 2): 306-322.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1644488
Artigo de periodico
Zero-adjusted defective regression models for modeling lifetime data (2019)
Calsavara, Vinicius Fernando ; Rodrigues, Agatha Sacramento; Rocha, Ricardo ; Louzada, Francisco ; Tomazella, Vera ; Souza, Ana Claudia Rodrigues Lopes Amaral de ; Costa, Rafaela Alkmin da ; Francisco, Rossana Pulcineli Vieira
Source: Journal of Applied Statistics. Unidades: ICMC, FM, IME
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALSAVARA, Vinicius Fernando et al. Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, v. 46, n. 13, p. 2434-2459, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1597029. Acesso em: 12 ago. 2024.
APA
Calsavara, V. F., Rodrigues, A. S., Rocha, R., Louzada, F., Tomazella, V., Souza, A. C. R. L. A. de, et al. (2019). Zero-adjusted defective regression models for modeling lifetime data. Journal of Applied Statistics, 46( 13), 2434-2459. doi:10.1080/02664763.2019.1597029
NLM
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
Vancouver
Calsavara VF, Rodrigues AS, Rocha R, Louzada F, Tomazella V, Souza ACRLA de, Costa RA da, Francisco RPV. Zero-adjusted defective regression models for modeling lifetime data [Internet]. Journal of Applied Statistics. 2019 ; 46( 13): 2434-2459.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1597029
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1601164
Artigo de periodico
The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates (2019)
Mazucheli, J.; Menezes, A. F. B; Fernandes, L. B; Oliveira, Ricardo Puziol de; Ghitany, M. E
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: REGRESSÃO LINEAR, PROBABILIDADE, SELEÇÃO DE MODELOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAZUCHELI, J. et al. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics, v. 47, n. 6, p. 954-974, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1657813. Acesso em: 12 ago. 2024.
APA
Mazucheli, J., Menezes, A. F. B., Fernandes, L. B., Oliveira, R. P. de, & Ghitany, M. E. (2019). The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates. Journal of Applied Statistics, 47( 6), 954-974. doi:10.1080/02664763.2019.1657813
NLM
Mazucheli J, Menezes AFB, Fernandes LB, Oliveira RP de, Ghitany ME. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates [Internet]. Journal of Applied Statistics. 2019 ; 47( 6): 954-974.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1657813
Vancouver
Mazucheli J, Menezes AFB, Fernandes LB, Oliveira RP de, Ghitany ME. The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates [Internet]. Journal of Applied Statistics. 2019 ; 47( 6): 954-974.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2019.1657813
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2014.995610
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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] 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: 12 ago. 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 ago. 12 ] 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 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2013.839635
Artigo de periodico
Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure (2014)
Louzada, Francisco ; Ferreira, Paulo H; Diniz, Carlos A. R
Source: Journal of Applied Statistics. Unidade: ICMC
Subjects: CURVAS DE CRESCIMENTO, DISTRIBUIÇÃO NORMAL, HETEROSCEDASTICIDADE, SIMULAÇÃO (ESTATÍSTICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e FERREIRA, Paulo H e DINIZ, Carlos A. R. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, v. 41, n. 8, p. 1785-1798, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.891005. Acesso em: 12 ago. 2024.
APA
Louzada, F., Ferreira, P. H., & Diniz, C. A. R. (2014). Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, 41( 8), 1785-1798. doi:10.1080/02664763.2014.891005
NLM
Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2014.891005
Vancouver
Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2014.891005
Artigo de periodico
Robust modeling using the generalized epsilon-skew-t distribution (2012)
Venegas, Osvaldo; Rodriguez, Francisco; Olivares-Pacheco, Juan F; Gómez, Héctor W.; Bolfarine, Heleno
Source: Journal of Applied Statistics. Unidade: IME
Assunto: DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VENEGAS, Osvaldo et al. Robust modeling using the generalized epsilon-skew-t distribution. Journal of Applied Statistics, v. 39, n. 12, p. 2685\20132698, 2012Tradução . . Disponível em: https://doi.org/10.1080/02664763.2012.725462. Acesso em: 12 ago. 2024.
APA
Venegas, O., Rodriguez, F., Olivares-Pacheco, J. F., Gómez, H. W., & Bolfarine, H. (2012). Robust modeling using the generalized epsilon-skew-t distribution. Journal of Applied Statistics, 39( 12), 2685\20132698. doi:10.1080/02664763.2012.725462
NLM
Venegas O, Rodriguez F, Olivares-Pacheco JF, Gómez HW, Bolfarine H. Robust modeling using the generalized epsilon-skew-t distribution [Internet]. Journal of Applied Statistics. 2012 ; 39( 12): 2685\20132698.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2012.725462
Vancouver
Venegas O, Rodriguez F, Olivares-Pacheco JF, Gómez HW, Bolfarine H. Robust modeling using the generalized epsilon-skew-t distribution [Internet]. Journal of Applied Statistics. 2012 ; 39( 12): 2685\20132698.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2012.725462
Artigo de periodico
Residuals for log-Burr XII regression models in survival analysis (2011)
Silva, Giovana O; Ortega, Edwin Moisés Marcos; Paula, Gilberto Alvarenga
Source: Journal of Applied Statistics. Unidades: ESALQ, IME
Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Giovana O e ORTEGA, Edwin Moisés Marcos e PAULA, Gilberto Alvarenga. Residuals for log-Burr XII regression models in survival analysis. Journal of Applied Statistics, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.505950. Acesso em: 12 ago. 2024.
APA
Silva, G. O., Ortega, E. M. M., & Paula, G. A. (2011). Residuals for log-Burr XII regression models in survival analysis. Journal of Applied Statistics. doi:10.1080/02664763.2010.505950
NLM
Silva GO, Ortega EMM, Paula GA. Residuals for log-Burr XII regression models in survival analysis [Internet]. Journal of Applied Statistics. 2011 ;[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2010.505950
Vancouver
Silva GO, Ortega EMM, Paula GA. Residuals for log-Burr XII regression models in survival analysis [Internet]. Journal of Applied Statistics. 2011 ;[citado 2024 ago. 12 ] Available from: https://doi.org/10.1080/02664763.2010.505950

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