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Artigo de periodico
Sample size for estimating organism concentration in ballast water: A Bayesian approach (2021)
Costa, Eliardo Guimarães da ; Paulino, Carlos Daniel ; Singer, Júlio da Motta
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assuntos: DISTRIBUIÇÃO DE POISSON, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Eliardo Guimarães da e PAULINO, Carlos Daniel e SINGER, Júlio da Motta. Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics, 2021Tradução . . Disponível em: https://doi.org/10.1214/20-BJPS470. Acesso em: 15 nov. 2025.
APA
Costa, E. G. da, Paulino, C. D., & Singer, J. da M. (2021). Sample size for estimating organism concentration in ballast water: A Bayesian approach. Brazilian Journal of Probability and Statistics. doi:10.1214/20-BJPS470
NLM
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/20-BJPS470
Vancouver
Costa EG da, Paulino CD, Singer J da M. Sample size for estimating organism concentration in ballast water: A Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2021 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/20-BJPS470
Artigo de periodico
Improved U-tests for variance components in one-way randomeffectsmodels (2020)
Nobre, Juvêncio Santos ; Singer, Júlio da Motta ; Batista, Maria Jacqueline
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assuntos: TESTES DE HIPÓTESES, ANÁLISE MULTIVARIADA, BIOESTATÍSTICA
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ABNT
NOBRE, Juvêncio Santos e SINGER, Júlio da Motta e BATISTA, Maria Jacqueline. Improved U-tests for variance components in one-way randomeffectsmodels. Brazilian Journal of Probability and Statistics, v. 34, n. 3, p. 464-477, 2020Tradução . . Disponível em: https://doi.org/10.1214/19-BJPS436. Acesso em: 15 nov. 2025.
APA
Nobre, J. S., Singer, J. da M., & Batista, M. J. (2020). Improved U-tests for variance components in one-way randomeffectsmodels. Brazilian Journal of Probability and Statistics, 34( 3), 464-477. doi:10.1214/19-BJPS436
NLM
Nobre JS, Singer J da M, Batista MJ. Improved U-tests for variance components in one-way randomeffectsmodels [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 464-477.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/19-BJPS436
Vancouver
Nobre JS, Singer J da M, Batista MJ. Improved U-tests for variance components in one-way randomeffectsmodels [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 3): 464-477.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/19-BJPS436
Artigo de periodico
Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals (2019)
Singer, Júlio da Motta ; Rocha, Francisco Marcelo Monteiro da; André, Carmen Diva Saldiva de ; Zerbini, Talita
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, ESTATÍSTICA APLICADA
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ABNT
SINGER, Júlio da Motta et al. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, v. 33, n. 1, p. 161-183, 2019Tradução . . Disponível em: https://doi.org/10.1214/17-bjps382. Acesso em: 15 nov. 2025.
APA
Singer, J. da M., Rocha, F. M. M. da, André, C. D. S. de, & Zerbini, T. (2019). Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals. Brazilian Journal of Probability and Statistics, 33( 1), 161-183. doi:10.1214/17-bjps382
NLM
Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/17-bjps382
Vancouver
Singer J da M, Rocha FMM da, André CDS de, Zerbini T. Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals [Internet]. Brazilian Journal of Probability and Statistics. 2019 ; 33( 1): 161-183.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/17-bjps382
Artigo de periodico
A product-multinomial framework for categorical data analysis with missing responses (2014)
Poleto, Frederico Zanqueta; Singer, Júlio da Motta ; Paulino, Carlos Daniel
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assuntos: INFERÊNCIA BAYESIANA, INFERÊNCIA PARAMÉTRICA, DADOS CATEGORIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POLETO, Frederico Zanqueta e SINGER, Júlio da Motta e PAULINO, Carlos Daniel. A product-multinomial framework for categorical data analysis with missing responses. Brazilian Journal of Probability and Statistics, v. 28, n. 1, p. 109-139, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-BJPS198. Acesso em: 15 nov. 2025.
APA
Poleto, F. Z., Singer, J. da M., & Paulino, C. D. (2014). A product-multinomial framework for categorical data analysis with missing responses. Brazilian Journal of Probability and Statistics, 28( 1), 109-139. doi:10.1214/12-BJPS198
NLM
Poleto FZ, Singer J da M, Paulino CD. A product-multinomial framework for categorical data analysis with missing responses [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 109-139.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/12-BJPS198
Vancouver
Poleto FZ, Singer J da M, Paulino CD. A product-multinomial framework for categorical data analysis with missing responses [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 1): 109-139.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/12-BJPS198
Artigo de periodico
Prediction of failure probability of oil wells (2014)
Carvalho, João Batista Queiroz de; Valença, Dione Maria; Singer, Júlio da Motta
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: PROBABILIDADE
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ABNT
CARVALHO, João Batista Queiroz de e VALENÇA, Dione Maria e SINGER, Júlio da Motta. Prediction of failure probability of oil wells. Brazilian Journal of Probability and Statistics, v. 28, n. 2, p. 275-287, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-BJPS206. Acesso em: 15 nov. 2025.
APA
Carvalho, J. B. Q. de, Valença, D. M., & Singer, J. da M. (2014). Prediction of failure probability of oil wells. Brazilian Journal of Probability and Statistics, 28( 2), 275-287. doi:10.1214/12-BJPS206
NLM
Carvalho JBQ de, Valença DM, Singer J da M. Prediction of failure probability of oil wells [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 275-287.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/12-BJPS206
Vancouver
Carvalho JBQ de, Valença DM, Singer J da M. Prediction of failure probability of oil wells [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 275-287.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/12-BJPS206
Artigo de periodico
Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters (2011)
Lora, Mayra Ivanoff; Singer, Júlio da Motta
Fonte: Brazilian Journal of Probability and Statistics. Unidade: IME
Assunto: BIOESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LORA, Mayra Ivanoff e SINGER, Júlio da Motta. Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters. Brazilian Journal of Probability and Statistics, v. 25, n. 2, p. 218-235, 2011Tradução . . Disponível em: https://doi.org/10.1214/10-BJPS118. Acesso em: 15 nov. 2025.
APA
Lora, M. I., & Singer, J. da M. (2011). Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters. Brazilian Journal of Probability and Statistics, 25( 2), 218-235. doi:10.1214/10-BJPS118
NLM
Lora MI, Singer J da M. Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters [Internet]. Brazilian Journal of Probability and Statistics. 2011 ; 25( 2): 218-235.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/10-BJPS118
Vancouver
Lora MI, Singer J da M. Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters [Internet]. Brazilian Journal of Probability and Statistics. 2011 ; 25( 2): 218-235.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1214/10-BJPS118
Artigo de periodico
Asymptotic efficiency of method of moments estimators under null intercept measurement error regression models (2002)
Aoki, Reiko ; Bolfarine, Heleno ; Singer, Júlio da Motta
Fonte: Brazilian Journal of Probability and Statistics. Unidades: ICMC, IME
Assunto: INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AOKI, Reiko e BOLFARINE, Heleno e SINGER, Júlio da Motta. Asymptotic efficiency of method of moments estimators under null intercept measurement error regression models. Brazilian Journal of Probability and Statistics, v. 16, p. 157-167, 2002Tradução . . Disponível em: https://www.jstor.org/stable/43601014. Acesso em: 15 nov. 2025.
APA
Aoki, R., Bolfarine, H., & Singer, J. da M. (2002). Asymptotic efficiency of method of moments estimators under null intercept measurement error regression models. Brazilian Journal of Probability and Statistics, 16, 157-167. Recuperado de https://www.jstor.org/stable/43601014
NLM
Aoki R, Bolfarine H, Singer J da M. Asymptotic efficiency of method of moments estimators under null intercept measurement error regression models [Internet]. Brazilian Journal of Probability and Statistics. 2002 ; 16 157-167.[citado 2025 nov. 15 ] Available from: https://www.jstor.org/stable/43601014
Vancouver
Aoki R, Bolfarine H, Singer J da M. Asymptotic efficiency of method of moments estimators under null intercept measurement error regression models [Internet]. Brazilian Journal of Probability and Statistics. 2002 ; 16 157-167.[citado 2025 nov. 15 ] Available from: https://www.jstor.org/stable/43601014

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