Multivariate measurement error models based on scale mixtures of the skew-normal distribution (2010)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- DOI: 10.1080/02331880903236926
- Assunto: REGRESSÃO LINEAR
- Language: Inglês
- Imprenta:
- Publisher place: Park Abingdon
- Date published: 2010
- Source:
- Título: Statistics. A Journal of Theoretical and Applied Statistics
- ISSN: 0233-1888
- Volume/Número/Paginação/Ano: v. 44, n. 6, p. 541-556, 2010
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LACHOS DÁVILA, Victor Hugo et al. Multivariate measurement error models based on scale mixtures of the skew-normal distribution. Statistics. A Journal of Theoretical and Applied Statistics, v. 44, n. 6, p. 541-556, 2010Tradução . . Disponível em: https://doi.org/10.1080/02331880903236926. Acesso em: 18 out. 2024. -
APA
Lachos Dávila, V. H., Labra, F. V., Bolfarine, H., & Ghosh, P. (2010). Multivariate measurement error models based on scale mixtures of the skew-normal distribution. Statistics. A Journal of Theoretical and Applied Statistics, 44( 6), 541-556. doi:10.1080/02331880903236926 -
NLM
Lachos Dávila VH, Labra FV, Bolfarine H, Ghosh P. Multivariate measurement error models based on scale mixtures of the skew-normal distribution [Internet]. Statistics. A Journal of Theoretical and Applied Statistics. 2010 ; 44( 6): 541-556.[citado 2024 out. 18 ] Available from: https://doi.org/10.1080/02331880903236926 -
Vancouver
Lachos Dávila VH, Labra FV, Bolfarine H, Ghosh P. Multivariate measurement error models based on scale mixtures of the skew-normal distribution [Internet]. Statistics. A Journal of Theoretical and Applied Statistics. 2010 ; 44( 6): 541-556.[citado 2024 out. 18 ] Available from: https://doi.org/10.1080/02331880903236926 - Some shrinkage techniques for predicting the population total in finite populations
- Contribuições a teoria da previsão bayesiana e métodos relacionados em populações finitas
- 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
- Bayesian estimation of regression parameters in elliptical measurement error models
- Likelihood-based inference for power distributions
Informações sobre o DOI: 10.1080/02331880903236926 (Fonte: oaDOI API)
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