Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure (2014)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1080/02664763.2014.891005
- Subjects: CURVAS DE CRESCIMENTO; DISTRIBUIÇÃO NORMAL; HETEROSCEDASTICIDADE; SIMULAÇÃO (ESTATÍSTICA)
- Keywords: simulation study; growth models; homoscedasticity with autocorrelation lag 1; multiplicative heteroscedasticity; skew-normal distribution; maximum likelihood estimation
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Applied Statistics
- ISSN: 0266-4763
- Volume/Número/Paginação/Ano: v. 41, n. 8, p. 1785-1798, 2014
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LOUZADA, Francisco e FERREIRA, Paulo H e DINIZ, Carlos A. R. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, v. 41, n. 8, p. 1785-1798, 2014Tradução . . Disponível em: https://doi.org/10.1080/02664763.2014.891005. Acesso em: 19 abr. 2024. -
APA
Louzada, F., Ferreira, P. H., & Diniz, C. A. R. (2014). Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure. Journal of Applied Statistics, 41( 8), 1785-1798. doi:10.1080/02664763.2014.891005 -
NLM
Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1080/02664763.2014.891005 -
Vancouver
Louzada F, Ferreira PH, Diniz CAR. Skew-normal distribution for growth curve models in presence of a heteroscedasticity structure [Internet]. Journal of Applied Statistics. 2014 ; 41( 8): 1785-1798.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1080/02664763.2014.891005 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1080/02664763.2014.891005 (Fonte: oaDOI API)
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