Inference and local influence in the null intercept measurement error model under the skew-normal distribution (2005)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- Assunto: INFERÊNCIA PARAMÉTRICA
- Language: Inglês
- Imprenta:
-
ABNT
LACHOS DÁVILA, Victor Hugo e MONTENEGRO, Lourdes C. e BOLFARINE, Heleno. Inference and local influence in the null intercept measurement error model under the skew-normal distribution. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/203baaa4-7dde-4b0b-a308-9ee709cdf224/1499972.pdf. Acesso em: 21 maio 2024. , 2005 -
APA
Lachos Dávila, V. H., Montenegro, L. C., & Bolfarine, H. (2005). Inference and local influence in the null intercept measurement error model under the skew-normal distribution. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/203baaa4-7dde-4b0b-a308-9ee709cdf224/1499972.pdf -
NLM
Lachos Dávila VH, Montenegro LC, Bolfarine H. Inference and local influence in the null intercept measurement error model under the skew-normal distribution [Internet]. 2005 ;[citado 2024 maio 21 ] Available from: https://repositorio.usp.br/directbitstream/203baaa4-7dde-4b0b-a308-9ee709cdf224/1499972.pdf -
Vancouver
Lachos Dávila VH, Montenegro LC, Bolfarine H. Inference and local influence in the null intercept measurement error model under the skew-normal distribution [Internet]. 2005 ;[citado 2024 maio 21 ] Available from: https://repositorio.usp.br/directbitstream/203baaa4-7dde-4b0b-a308-9ee709cdf224/1499972.pdf - Some shrinkage techniques for predicting the population total in finite populations
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- Prediction in a finite population under a generalized linear model
- Inference under representable priors for Pearson type II models in finite populations
- Measurement error models with nonconstant covariance matrices
- Inference and local influence assessment in skew-normal null intercept measurement error model
- Large-sample inference for the Epsilon-Skew-t distribution
- Properties and Inference on the Skew-Curved-Symmetric Family of Distributions
- Multivariate measurement error models based on scale mixtures of the skew-normal distribution
- Bayesian estimation of regression parameters in elliptical measurement error models
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