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Artigo de periodico
Statistical inference for generalized power-law process in repairable systems (2024)
Lopes, Tito; Tomazella, Vera Lucia Damasceno ; Leão, Jeremias ; Ramos, Pedro Luiz ; Louzada, Francisco
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: PROCESSOS DE POISSON, FALHA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO
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ABNT
LOPES, Tito et al. Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, v. 445, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2024.115799. Acesso em: 02 jul. 2024.
APA
Lopes, T., Tomazella, V. L. D., Leão, J., Ramos, P. L., & Louzada, F. (2024). Statistical inference for generalized power-law process in repairable systems. Journal of Computational and Applied Mathematics, 445, 1-20. doi:10.1016/j.cam.2024.115799
NLM
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.cam.2024.115799
Vancouver
Lopes T, Tomazella VLD, Leão J, Ramos PL, Louzada F. Statistical inference for generalized power-law process in repairable systems [Internet]. Journal of Computational and Applied Mathematics. 2024 ; 445 1-20.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.cam.2024.115799
Artigo de periodico
The gradient test statistic for outlier detection in generalized estimating equations (2024)
Osorio, Felipe ; Gárate, Angelo; Russo, Cibele Maria
Source: Statistics and Probability Letters. Unidade: ICMC
Subjects: ESTATÍSTICA, EQUAÇÕES, ANÁLISE DE DADOS LONGITUDINAIS
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ABNT
OSORIO, Felipe e GÁRATE, Angelo e RUSSO, Cibele Maria. The gradient test statistic for outlier detection in generalized estimating equations. Statistics and Probability Letters, v. 209, p. 1-5, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2024.110087. Acesso em: 02 jul. 2024.
APA
Osorio, F., Gárate, A., & Russo, C. M. (2024). The gradient test statistic for outlier detection in generalized estimating equations. Statistics and Probability Letters, 209, 1-5. doi:10.1016/j.spl.2024.110087
NLM
Osorio F, Gárate A, Russo CM. The gradient test statistic for outlier detection in generalized estimating equations [Internet]. Statistics and Probability Letters. 2024 ; 209 1-5.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.spl.2024.110087
Vancouver
Osorio F, Gárate A, Russo CM. The gradient test statistic for outlier detection in generalized estimating equations [Internet]. Statistics and Probability Letters. 2024 ; 209 1-5.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.spl.2024.110087
Artigo de periodico
Conditional likelihood inference in a heteroscedastic functional measurement error model (2023)
Galea Rojas, Manuel Jesus ; Castro, Mário de
Source: Chemometrics and Intelligent Laboratory Systems. Unidade: ICMC
Subjects: VEROSSIMILHANÇA, ESTATÍSTICA SUFICIENTE, INFERÊNCIA ESTATÍSTICA
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ABNT
GALEA ROJAS, Manuel Jesus e CASTRO, Mário de. Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, v. 243, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2023.105005. Acesso em: 02 jul. 2024.
APA
Galea Rojas, M. J., & Castro, M. de. (2023). Conditional likelihood inference in a heteroscedastic functional measurement error model. Chemometrics and Intelligent Laboratory Systems, 243, 1-6. doi:10.1016/j.chemolab.2023.105005
NLM
Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
Vancouver
Galea Rojas MJ, Castro M de. Conditional likelihood inference in a heteroscedastic functional measurement error model [Internet]. Chemometrics and Intelligent Laboratory Systems. 2023 ; 243 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2023.105005
Artigo de periodico
Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time (2023)
Porcu, Emilio ; Feng, Samuel F ; Emery, Xavier ; Peron, Ana Paula
Source: Bernoulli. Unidade: ICMC
Subjects: ANÁLISE FUNCIONAL, CAMPOS ALEATÓRIOS
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ABNT
PORCU, Emilio et al. Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time. Bernoulli, v. 29, n. 2, p. 1464-1475, 2023Tradução . . Disponível em: https://doi.org/10.3150/22-BEJ1506. Acesso em: 02 jul. 2024.
APA
Porcu, E., Feng, S. F., Emery, X., & Peron, A. P. (2023). Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time. Bernoulli, 29( 2), 1464-1475. doi:10.3150/22-BEJ1506
NLM
Porcu E, Feng SF, Emery X, Peron AP. Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time [Internet]. Bernoulli. 2023 ; 29( 2): 1464-1475.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3150/22-BEJ1506
Vancouver
Porcu E, Feng SF, Emery X, Peron AP. Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time [Internet]. Bernoulli. 2023 ; 29( 2): 1464-1475.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3150/22-BEJ1506
Artigo de periodico
Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: a randomized sham-controlled clinical trial (2022)
Stefano, Luiz Henrique Soares ; Favoretto, Diandra Bosi ; Nascimento, Diego Carvalho do ; Santos, Luan R. A; Louzada, Francisco ; Bikson, Marom ; Leite, João Pereira ; Pontes Neto, Octávio Marques ; Edwards, Dylan J; Edwards, Taiza Elaine Grespan Santos
Source: Clinical Neurology and Neurosurgery. Unidades: ICMC, FMRP
Subjects: FLUXO SANGUÍNEO, ARTÉRIA CEREBRAL MÉDIA, ESTIMULAÇÃO ELÉTRICA
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ABNT
STEFANO, Luiz Henrique Soares et al. Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: a randomized sham-controlled clinical trial. Clinical Neurology and Neurosurgery, v. 220, p. 1-6, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.clineuro.2022.107345. Acesso em: 02 jul. 2024.
APA
Stefano, L. H. S., Favoretto, D. B., Nascimento, D. C. do, Santos, L. R. A., Louzada, F., Bikson, M., et al. (2022). Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: a randomized sham-controlled clinical trial. Clinical Neurology and Neurosurgery, 220, 1-6. doi:10.1016/j.clineuro.2022.107345
NLM
Stefano LHS, Favoretto DB, Nascimento DC do, Santos LRA, Louzada F, Bikson M, Leite JP, Pontes Neto OM, Edwards DJ, Edwards TEGS. Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: a randomized sham-controlled clinical trial [Internet]. Clinical Neurology and Neurosurgery. 2022 ; 220 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.clineuro.2022.107345
Vancouver
Stefano LHS, Favoretto DB, Nascimento DC do, Santos LRA, Louzada F, Bikson M, Leite JP, Pontes Neto OM, Edwards DJ, Edwards TEGS. Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: a randomized sham-controlled clinical trial [Internet]. Clinical Neurology and Neurosurgery. 2022 ; 220 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.clineuro.2022.107345
Artigo de periodico
A bayesian analysis of the matching problem (2021)
Vidal, Ignacio ; Castro, Mário de
Source: Journal of Statistical Planning and Inference. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE DADOS, DISTRIBUIÇÕES (PROBABILIDADE)
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ABNT
VIDAL, Ignacio e CASTRO, Mário de. A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, v. 212, p. 194-200, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jspi.2020.10.002. Acesso em: 02 jul. 2024.
APA
Vidal, I., & Castro, M. de. (2021). A bayesian analysis of the matching problem. Journal of Statistical Planning and Inference, 212, 194-200. doi:10.1016/j.jspi.2020.10.002
NLM
Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
Vancouver
Vidal I, Castro M de. A bayesian analysis of the matching problem [Internet]. Journal of Statistical Planning and Inference. 2021 ; 212 194-200.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jspi.2020.10.002
Artigo de periodico
Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification (2020)
Canário, João Paulo ; Mello, Rodrigo Fernandes de ; Curilem, Millaray ; Huenupan, Fernando ; Rios, Ricardo Araújo
Source: Data in Brief. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, VULCÕES
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ABNT
CANÁRIO, João Paulo et al. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification. Data in Brief, v. 30, p. 1-6, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.dib.2020.105627. Acesso em: 02 jul. 2024.
APA
Canário, J. P., Mello, R. F. de, Curilem, M., Huenupan, F., & Rios, R. A. (2020). Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification. Data in Brief, 30, 1-6. doi:10.1016/j.dib.2020.105627
NLM
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Data in Brief. 2020 ; 30 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.dib.2020.105627
Vancouver
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. Llaima volcano dataset: in-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Data in Brief. 2020 ; 30 1-6.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.dib.2020.105627
Artigo de periodico
Quantile regression for nonlinear mixed effects models: a likelihood based perspective (2020)
Morales, Christian Eduardo Galarza; Dávila, Víctor Hugo Lachos ; Cepero, Luis Mauricio Castro; Louzada, Francisco
Source: Statistical Papers. Unidade: ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELOS NÃO LINEARES, VEROSSIMILHANÇA
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ABNT
MORALES, Christian Eduardo Galarza et al. Quantile regression for nonlinear mixed effects models: a likelihood based perspective. Statistical Papers, v. 61, p. 1281-1307, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00362-018-0988-y. Acesso em: 02 jul. 2024.
APA
Morales, C. E. G., Dávila, V. H. L., Cepero, L. M. C., & Louzada, F. (2020). Quantile regression for nonlinear mixed effects models: a likelihood based perspective. Statistical Papers, 61, 1281-1307. doi:10.1007/s00362-018-0988-y
NLM
Morales CEG, Dávila VHL, Cepero LMC, Louzada F. Quantile regression for nonlinear mixed effects models: a likelihood based perspective [Internet]. Statistical Papers. 2020 ; 61 1281-1307.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s00362-018-0988-y
Vancouver
Morales CEG, Dávila VHL, Cepero LMC, Louzada F. Quantile regression for nonlinear mixed effects models: a likelihood based perspective [Internet]. Statistical Papers. 2020 ; 61 1281-1307.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s00362-018-0988-y
Artigo de periodico
A Bayesian cure rate model based on the power piecewise exponential distribution (2020)
Castro, Mário de ; Gómez, Yolanda M
Source: Methodology and Computing in Applied Probability. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, BIOESTATÍSTICA, INFERÊNCIA NÃO PARAMÉTRICA, DISTRIBUIÇÃO BINOMIAL, MÉTODOS MCMC
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ABNT
CASTRO, Mário de e GÓMEZ, Yolanda M. A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, v. 22, n. 2, p. 677-692, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11009-019-09728-2. Acesso em: 02 jul. 2024.
APA
Castro, M. de, & Gómez, Y. M. (2020). A Bayesian cure rate model based on the power piecewise exponential distribution. Methodology and Computing in Applied Probability, 22( 2), 677-692. doi:10.1007/s11009-019-09728-2
NLM
Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
Vancouver
Castro M de, Gómez YM. A Bayesian cure rate model based on the power piecewise exponential distribution [Internet]. Methodology and Computing in Applied Probability. 2020 ; 22( 2): 677-692.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s11009-019-09728-2
Artigo de periodico
In-depth comparison of deep artificial neural network architectures on seismic events classification (2020)
Canário, João Paulo ; Mello, Rodrigo Fernandes de ; Curilem, Millaray ; Huenupan, Fernando ; Rios, Ricardo Araújo
Source: Journal of Volcanology and Geothermal Research. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, VULCÕES, ANÁLISE DE ONDALETAS
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ABNT
CANÁRIO, João Paulo et al. In-depth comparison of deep artificial neural network architectures on seismic events classification. Journal of Volcanology and Geothermal Research, v. 401, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jvolgeores.2020.106881. Acesso em: 02 jul. 2024.
APA
Canário, J. P., Mello, R. F. de, Curilem, M., Huenupan, F., & Rios, R. A. (2020). In-depth comparison of deep artificial neural network architectures on seismic events classification. Journal of Volcanology and Geothermal Research, 401, Se 2020. doi:10.1016/j.jvolgeores.2020.106881
NLM
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. In-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Journal of Volcanology and Geothermal Research. 2020 ; 401 Se 2020.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jvolgeores.2020.106881
Vancouver
Canário JP, Mello RF de, Curilem M, Huenupan F, Rios RA. In-depth comparison of deep artificial neural network architectures on seismic events classification [Internet]. Journal of Volcanology and Geothermal Research. 2020 ; 401 Se 2020.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jvolgeores.2020.106881
Artigo de periodico
Bayesian inference in measurement error models from objective priors for the bivariate normal distribution (2019)
Castro, Mário de ; Vidal, Ignacio
Source: Statistical Papers. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA
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ABNT
CASTRO, Mário de e VIDAL, Ignacio. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution. Statistical Papers, v. 60, n. 4, p. 1059-1078, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00362-016-0863-7. Acesso em: 02 jul. 2024.
APA
Castro, M. de, & Vidal, I. (2019). Bayesian inference in measurement error models from objective priors for the bivariate normal distribution. Statistical Papers, 60( 4), 1059-1078. doi:10.1007/s00362-016-0863-7
NLM
Castro M de, Vidal I. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution [Internet]. Statistical Papers. 2019 ; 60( 4): 1059-1078.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s00362-016-0863-7
Vancouver
Castro M de, Vidal I. Bayesian inference in measurement error models from objective priors for the bivariate normal distribution [Internet]. Statistical Papers. 2019 ; 60( 4): 1059-1078.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s00362-016-0863-7
Artigo de periodico
Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations (2018)
Curilem, Millaray; Mello, Rodrigo Fernandes de; Huenupan, Fernando; San Martin, Cesar; Franco, Luis; Hernández, Erasmo; Rios, Ricardo Araújo
Source: Journal of Volcanology and Geothermal Research. Unidade: ICMC
Subjects: VULCÕES, ONDAS SÍSMICAS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
CURILEM, Millaray et al. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations. Journal of Volcanology and Geothermal Research, v. No 2018, p. 63-78, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jvolgeores.2018.10.023. Acesso em: 02 jul. 2024.
APA
Curilem, M., Mello, R. F. de, Huenupan, F., San Martin, C., Franco, L., Hernández, E., & Rios, R. A. (2018). Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations. Journal of Volcanology and Geothermal Research, No 2018, 63-78. doi:10.1016/j.jvolgeores.2018.10.023
NLM
Curilem M, Mello RF de, Huenupan F, San Martin C, Franco L, Hernández E, Rios RA. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations [Internet]. Journal of Volcanology and Geothermal Research. 2018 ; No 2018 63-78.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jvolgeores.2018.10.023
Vancouver
Curilem M, Mello RF de, Huenupan F, San Martin C, Franco L, Hernández E, Rios RA. Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations [Internet]. Journal of Volcanology and Geothermal Research. 2018 ; No 2018 63-78.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jvolgeores.2018.10.023
Artigo de periodico
Robust inference in a linear functional model with replications using the t distribution (2017)
Galea, Manuel; Castro, Mário de
Source: Journal of Multivariate Analysis. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, EQUAÇÕES DE ESTIMAÇÃO
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ABNT
GALEA, Manuel e CASTRO, Mário de. Robust inference in a linear functional model with replications using the t distribution. Journal of Multivariate Analysis, v. 160, p. 134-145, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.jmva.2017.06.008. Acesso em: 02 jul. 2024.
APA
Galea, M., & Castro, M. de. (2017). Robust inference in a linear functional model with replications using the t distribution. Journal of Multivariate Analysis, 160, 134-145. doi:10.1016/j.jmva.2017.06.008
NLM
Galea M, Castro M de. Robust inference in a linear functional model with replications using the t distribution [Internet]. Journal of Multivariate Analysis. 2017 ; 160 134-145.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jmva.2017.06.008
Vancouver
Galea M, Castro M de. Robust inference in a linear functional model with replications using the t distribution [Internet]. Journal of Multivariate Analysis. 2017 ; 160 134-145.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jmva.2017.06.008
Artigo de periodico
Partially linear beta regression model with autoregressive errors (2015)
Ferreira, Guillermo; Figueroa-Zúñiga, Jorge I; Castro, Mário de
Source: Test. Unidade: ICMC
Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA
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ABNT
FERREIRA, Guillermo e FIGUEROA-ZÚÑIGA, Jorge I e CASTRO, Mário de. Partially linear beta regression model with autoregressive errors. Test, v. 24, n. 4, p. 752-775, 2015Tradução . . Disponível em: https://doi.org/10.1007/s11749-015-0433-7. Acesso em: 02 jul. 2024.
APA
Ferreira, G., Figueroa-Zúñiga, J. I., & Castro, M. de. (2015). Partially linear beta regression model with autoregressive errors. Test, 24( 4), 752-775. doi:10.1007/s11749-015-0433-7
NLM
Ferreira G, Figueroa-Zúñiga JI, Castro M de. Partially linear beta regression model with autoregressive errors [Internet]. Test. 2015 ; 24( 4): 752-775.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s11749-015-0433-7
Vancouver
Ferreira G, Figueroa-Zúñiga JI, Castro M de. Partially linear beta regression model with autoregressive errors [Internet]. Test. 2015 ; 24( 4): 752-775.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s11749-015-0433-7
Artigo de periodico
Local influence assessment in heteroscedastic measurement error models (2007)
Castro, Mário de ; Galea Rojas, Manuel Jesus; Bolfarine, Heleno
Source: Computational Statistics & Data Analysis. Unidades: ICMC, IME
Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR
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ABNT
CASTRO, Mário de e GALEA ROJAS, Manuel Jesus e BOLFARINE, Heleno. Local influence assessment in heteroscedastic measurement error models. Computational Statistics & Data Analysis, v. 52, n. 2, p. 1132-1142, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2007.05.012. Acesso em: 02 jul. 2024.
APA
Castro, M. de, Galea Rojas, M. J., & Bolfarine, H. (2007). Local influence assessment in heteroscedastic measurement error models. Computational Statistics & Data Analysis, 52( 2), 1132-1142. doi:10.1016/j.csda.2007.05.012
NLM
Castro M de, Galea Rojas MJ, Bolfarine H. Local influence assessment in heteroscedastic measurement error models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1132-1142.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.csda.2007.05.012
Vancouver
Castro M de, Galea Rojas MJ, Bolfarine H. Local influence assessment in heteroscedastic measurement error models [Internet]. Computational Statistics & Data Analysis. 2007 ; 52( 2): 1132-1142.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.csda.2007.05.012
Artigo de periodico
Local influence in regression for the detection of analytical bias (2006)
Castro, Mário de ; Galea Rojas, Manuel Jesus; Bolfarine, Heleno ; Castilho, Márcio V. de
Source: Chemometrics and Intelligent Laboratory Systems. Unidades: ICMC, IME
Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, TEORIA ANALÍTICA DOS NÚMEROS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
CASTRO, Mário de et al. Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, v. 83, n. 2, p. 139-147, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.chemolab.2006.02.005. Acesso em: 02 jul. 2024.
APA
Castro, M. de, Galea Rojas, M. J., Bolfarine, H., & Castilho, M. V. de. (2006). Local influence in regression for the detection of analytical bias. Chemometrics and Intelligent Laboratory Systems, 83( 2), 139-147. doi:10.1016/j.chemolab.2006.02.005
NLM
Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005
Vancouver
Castro M de, Galea Rojas MJ, Bolfarine H, Castilho MV de. Local influence in regression for the detection of analytical bias [Internet]. Chemometrics and Intelligent Laboratory Systems. 2006 ; 83( 2): 139-147.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.chemolab.2006.02.005

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