Likelihood-based inference for multivariate skew scale mixtures of normal distributions (2016)
- Authors:
- USP affiliated author: BOLFARINE, HELENO - IME
- School: IME
- DOI: 10.1007/s10182-016-0266-z
- Subject: DISTRIBUIÇÕES (PROBABILIDADE)
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: AStA Advances in Statistical Analysis
- ISSN: 1863-818X
- Volume/Número/Paginação/Ano: published online: 19 Jan 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FERREIRA, Clécio da Silva e LACHOS, Victor Hugo e BOLFARINE, Heleno. Likelihood-based inference for multivariate skew scale mixtures of normal distributions. AStA Advances in Statistical Analysis, 2016Tradução . . Disponível em: http://dx.doi.org/10.1007/s10182-016-0266-z. Acesso em: 27 set. 2022. -
APA
Ferreira, C. da S., Lachos, V. H., & Bolfarine, H. (2016). Likelihood-based inference for multivariate skew scale mixtures of normal distributions. AStA Advances in Statistical Analysis. doi:10.1007/s10182-016-0266-z -
NLM
Ferreira C da S, Lachos VH, Bolfarine H. Likelihood-based inference for multivariate skew scale mixtures of normal distributions [Internet]. AStA Advances in Statistical Analysis. 2016 ;[citado 2022 set. 27 ] Available from: http://dx.doi.org/10.1007/s10182-016-0266-z -
Vancouver
Ferreira C da S, Lachos VH, Bolfarine H. Likelihood-based inference for multivariate skew scale mixtures of normal distributions [Internet]. AStA Advances in Statistical Analysis. 2016 ;[citado 2022 set. 27 ] Available from: http://dx.doi.org/10.1007/s10182-016-0266-z - Inference and local influence assessment in skew-normal null intercept measurement error model
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- Asymmetric regression models with limited responses with an application to antibody response to vaccine
- Properties and Inference on the Skew-Curved-Symmetric Family of Distributions
- Doubly censored power-normal regression models with inflation
- Two alternative estimation procedures for the negative binomial cure rate model with a latent activation scheme
Informações sobre o DOI: 10.1007/s10182-016-0266-z (Fonte: oaDOI API)
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