Linear regression models using finite mixtures of skew heavy-tailed distributions (2019)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- Subjects: REGRESSÃO LINEAR; DISTRIBUIÇÃO NORMAL
- Keywords: ECME algorithm; Mixture model; Non-normal error distribution; Scale mixtures of skew-normal distributions
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Chilean Journal of Statistics
- ISSN: 0718-7912
- Volume/Número/Paginação/Ano: v. 10, n. 1, p. 21-41 , 2019
-
ABNT
BENITES, Luis et al. Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, v. 10, n. 1, p. 21-41 , 2019Tradução . . Disponível em: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf. Acesso em: 05 jan. 2026. -
APA
Benites, L., Maehara, R., Lachos, V. H., & Bolfarine, H. (2019). Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, 10( 1), 21-41 . Recuperado de http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf -
NLM
Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2026 jan. 05 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf -
Vancouver
Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2026 jan. 05 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf - 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
- 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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