The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics (2016)
- Authors:
- USP affiliated authors: SUZUKI, ADRIANO KAMIMURA - ICMC ; CANCHO, VICENTE GARIBAY - ICMC ; LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00362-014-0649-8
- Subjects: ESTATÍSTICA; ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2016
- Source:
- Título: Statistical Papers
- ISSN: 0932-5026
- Volume/Número/Paginação/Ano: v. 57, n. 1, p. 133-159, Mar. 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SUZUKI, Adriano Kamimura e CANCHO, Vicente Garibay e LOUZADA, Francisco. The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics. Statistical Papers, v. 57, n. 1, p. 133-159, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00362-014-0649-8. Acesso em: 30 dez. 2025. -
APA
Suzuki, A. K., Cancho, V. G., & Louzada, F. (2016). The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics. Statistical Papers, 57( 1), 133-159. doi:10.1007/s00362-014-0649-8 -
NLM
Suzuki AK, Cancho VG, Louzada F. The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics [Internet]. Statistical Papers. 2016 ; 57( 1): 133-159.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1007/s00362-014-0649-8 -
Vancouver
Suzuki AK, Cancho VG, Louzada F. The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics [Internet]. Statistical Papers. 2016 ; 57( 1): 133-159.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1007/s00362-014-0649-8 - On estimation and influence diagnostics for a bivariate promotion lifetime model based on the FGM Copula: a fully bayesian computation
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Informações sobre o DOI: 10.1007/s00362-014-0649-8 (Fonte: oaDOI API)
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