Inference and influence diagnostics in the grubbs model under the skew-normal distribution (2005)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- Assunto: INFERÊNCIA PARAMÉTRICA
- Language: Inglês
- Imprenta:
-
ABNT
MONTENEGRO, Lourdes C. e BOLFARINE, Heleno e LACHOS DÁVILA, Victor Hugo. Inference and influence diagnostics in the grubbs model under the skew-normal distribution. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/6fd73f1d-05a3-4c1e-9c46-d42e02f1b731/1487340.pdf. Acesso em: 24 abr. 2024. , 2005 -
APA
Montenegro, L. C., Bolfarine, H., & Lachos Dávila, V. H. (2005). Inference and influence diagnostics in the grubbs model under the skew-normal distribution. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/6fd73f1d-05a3-4c1e-9c46-d42e02f1b731/1487340.pdf -
NLM
Montenegro LC, Bolfarine H, Lachos Dávila VH. Inference and influence diagnostics in the grubbs model under the skew-normal distribution [Internet]. 2005 ;[citado 2024 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/6fd73f1d-05a3-4c1e-9c46-d42e02f1b731/1487340.pdf -
Vancouver
Montenegro LC, Bolfarine H, Lachos Dávila VH. Inference and influence diagnostics in the grubbs model under the skew-normal distribution [Internet]. 2005 ;[citado 2024 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/6fd73f1d-05a3-4c1e-9c46-d42e02f1b731/1487340.pdf - Some shrinkage techniques for predicting the population total in finite populations
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- 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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