Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables (2019)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1080/03610918.2017.1375521
- Subjects: PROBABILIDADE; ANÁLISE DE ERROS; TEORIA DA CONFIABILIDADE; DADOS CENSURADOS
- Keywords: Bootstrap confidence intervals; Customer churn; Frequentist data augmentation; Latent-dependent variables; Right-censoring; Upper tail dependence
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2019
- Source:
- Título: Communications in Statistics - Simulation and Computation
- ISSN: 0361-0918
- Volume/Número/Paginação/Ano: v. 48, n. 1, p. 150-168, Jan. 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FERREIRA, Paulo H. e LOUZADA, Francisco. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, v. 48, n. Ja 2019, p. 150-168, 2019Tradução . . Disponível em: https://doi.org/10.1080/03610918.2017.1375521. Acesso em: 23 fev. 2026. -
APA
Ferreira, P. H., & Louzada, F. (2019). Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables. Communications in Statistics - Simulation and Computation, 48( Ja 2019), 150-168. doi:10.1080/03610918.2017.1375521 -
NLM
Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1080/03610918.2017.1375521 -
Vancouver
Ferreira PH, Louzada F. Maximum likelihood estimation for bivariate SUR Tobit modeling in presence of two right-censored dependent variables [Internet]. Communications in Statistics - Simulation and Computation. 2019 ; 48( Ja 2019): 150-168.[citado 2026 fev. 23 ] Available from: https://doi.org/10.1080/03610918.2017.1375521 - Novos modelos de regressão binária usando funções de ligação simétricas e assimétricas
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Informações sobre o DOI: 10.1080/03610918.2017.1375521 (Fonte: oaDOI API)
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