Linear mixed models based on skew scale mixtures of normal distributions (2022)
- Authors:
- Autor USP: BOLFARINE, HELENO - IME
- Unidade: IME
- DOI: 10.1080/03610918.2020.1827265
- Assunto: REGRESSÃO LINEAR
- Keywords: EM algorithm; Linear mixed models; Local influence analysis; Skew scale mixtures of normal distributions
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Statistics - Simulation and Computation
- ISSN: 0361-0918
- Volume/Número/Paginação/Ano: v. 51, n. 12, p. 7194-7214, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FERREIRA, Clécio S. e BOLFARINE, Heleno e LACHOS, Victor Hugo. Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, v. 51, n. 12, p. 7194-7214, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1827265. Acesso em: 15 nov. 2024. -
APA
Ferreira, C. S., Bolfarine, H., & Lachos, V. H. (2022). Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation, 51( 12), 7194-7214. doi:10.1080/03610918.2020.1827265 -
NLM
Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1827265 -
Vancouver
Ferreira CS, Bolfarine H, Lachos VH. Linear mixed models based on skew scale mixtures of normal distributions [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 12): 7194-7214.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1827265 - 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
Informações sobre o DOI: 10.1080/03610918.2020.1827265 (Fonte: oaDOI API)
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