Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models (2020)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1080/03610926.2018.1563167
- Subjects: MÉTODOS DE REAMOSTRAGEM; DISTRIBUIÇÕES (PROBABILIDADE); ANÁLISE MULTIVARIADA; DADOS QUALITATIVOS
- Keywords: Bootstrap confidence intervals; consumption data; data augmentation; trivariate one-parameter Clayton copula; two-stage maximum likelihood estimation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2020
- Source:
- Título: Communications in Statistics - Theory and Methods
- ISSN: 0361-0926
- Volume/Número/Paginação/Ano: v. 49, n. 6, p. 1375-1401, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FERREIRA, Paulo Henrique e LOUZADA, Francisco. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, v. 49, n. 6, p. 1375-1401, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2018.1563167. Acesso em: 24 fev. 2026. -
APA
Ferreira, P. H., & Louzada, F. (2020). Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models. Communications in Statistics - Theory and Methods, 49( 6), 1375-1401. doi:10.1080/03610926.2018.1563167 -
NLM
Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1080/03610926.2018.1563167 -
Vancouver
Ferreira PH, Louzada F. Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 6): 1375-1401.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1080/03610926.2018.1563167 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1080/03610926.2018.1563167 (Fonte: oaDOI API)
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