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Artigo de periodico
On the importance of components for multistate monotone systems (1988)
Bueno, Vanderlei da Costa
Source: Statistics and Probability Letters. Unidade: IME
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE SOBREVIVÊNCIA, PESQUISA OPERACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, Vanderlei da Costa. On the importance of components for multistate monotone systems. Statistics and Probability Letters, v. 7 , n. 1 , p. 51-9, 1988Tradução . . Disponível em: https://doi.org/10.1016/0167-7152(88)90088-0. Acesso em: 28 nov. 2025.
APA
Bueno, V. da C. (1988). On the importance of components for multistate monotone systems. Statistics and Probability Letters, 7 ( 1 ), 51-9. doi:10.1016/0167-7152(88)90088-0
NLM
Bueno V da C. On the importance of components for multistate monotone systems [Internet]. Statistics and Probability Letters. 1988 ;7 ( 1 ): 51-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(88)90088-0
Vancouver
Bueno V da C. On the importance of components for multistate monotone systems [Internet]. Statistics and Probability Letters. 1988 ;7 ( 1 ): 51-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(88)90088-0
Artigo de periodico
Kalman filter model for single and two-stage repeated surveys (1987)
Bolfarine, Heleno ; Rodrigues, Josemar
Source: Statistics and Probability Letters. Unidade: IME
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOLFARINE, Heleno e RODRIGUES, Josemar. Kalman filter model for single and two-stage repeated surveys. Statistics and Probability Letters, v. 5 , n. 4 , p. 299-303, 1987Tradução . . Disponível em: https://doi.org/10.1016/0167-7152(87)90109-x. Acesso em: 28 nov. 2025.
APA
Bolfarine, H., & Rodrigues, J. (1987). Kalman filter model for single and two-stage repeated surveys. Statistics and Probability Letters, 5 ( 4 ), 299-303. doi:10.1016/0167-7152(87)90109-x
NLM
Bolfarine H, Rodrigues J. Kalman filter model for single and two-stage repeated surveys [Internet]. Statistics and Probability Letters. 1987 ;5 ( 4 ): 299-303.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(87)90109-x
Vancouver
Bolfarine H, Rodrigues J. Kalman filter model for single and two-stage repeated surveys [Internet]. Statistics and Probability Letters. 1987 ;5 ( 4 ): 299-303.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(87)90109-x
Artigo de periodico
Note on the missing value principle and the em algorithm for estimation and prediction in sampling from finite populations with superpopulations model (1986)
Rodrigues, Josemar
Source: Statistics and Probability Letters. Unidade: IME
Subjects: TEORIA DA PREVISÃO EM POPULAÇÕES FINITAS, AMOSTRAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar. Note on the missing value principle and the em algorithm for estimation and prediction in sampling from finite populations with superpopulations model. Statistics and Probability Letters, v. 4 , n. 1 , p. 35-7, 1986Tradução . . Disponível em: https://doi.org/10.1016/0167-7152(86)90036-2. Acesso em: 28 nov. 2025.
APA
Rodrigues, J. (1986). Note on the missing value principle and the em algorithm for estimation and prediction in sampling from finite populations with superpopulations model. Statistics and Probability Letters, 4 ( 1 ), 35-7. doi:10.1016/0167-7152(86)90036-2
NLM
Rodrigues J. Note on the missing value principle and the em algorithm for estimation and prediction in sampling from finite populations with superpopulations model [Internet]. Statistics and Probability Letters. 1986 ;4 ( 1 ): 35-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(86)90036-2
Vancouver
Rodrigues J. Note on the missing value principle and the em algorithm for estimation and prediction in sampling from finite populations with superpopulations model [Internet]. Statistics and Probability Letters. 1986 ;4 ( 1 ): 35-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(86)90036-2
Artigo de periodico
Log-linear model with a generalized gamma distribution for the error: a Bayesian approach (1986)
Bolfarine, Heleno ; Achcar, Jorge Alberto
Source: Statistics and Probability Letters. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOLFARINE, Heleno e ACHCAR, Jorge Alberto. Log-linear model with a generalized gamma distribution for the error: a Bayesian approach. Statistics and Probability Letters, v. 4 , n. 6 , p. 325-32, 1986Tradução . . Disponível em: https://doi.org/10.1016/0167-7152(86)90053-2. Acesso em: 28 nov. 2025.
APA
Bolfarine, H., & Achcar, J. A. (1986). Log-linear model with a generalized gamma distribution for the error: a Bayesian approach. Statistics and Probability Letters, 4 ( 6 ), 325-32. doi:10.1016/0167-7152(86)90053-2
NLM
Bolfarine H, Achcar JA. Log-linear model with a generalized gamma distribution for the error: a Bayesian approach [Internet]. Statistics and Probability Letters. 1986 ;4 ( 6 ): 325-32.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(86)90053-2
Vancouver
Bolfarine H, Achcar JA. Log-linear model with a generalized gamma distribution for the error: a Bayesian approach [Internet]. Statistics and Probability Letters. 1986 ;4 ( 6 ): 325-32.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/0167-7152(86)90053-2

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