On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data (2018)
- Authors:
- USP affiliated authors: CONCEIÇÃO, KATIANE SILVA - ICMC ; ANDRADE FILHO, MARINHO GOMES DE - ICMC ; LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00180-017-0788-1
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); INFERÊNCIA BAYESIANA
- Keywords: Poisson-Shanker distribution; Zero inflated/deflated data; Zero-modified and hurdle models; Bayesian estimation; Influential points
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2018
- Source:
- Título: Computational Statistics
- ISSN: 0943-4062
- Volume/Número/Paginação/Ano: v. 33, n. 2, p. 807-836, Jun. 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BERTOLI, Wesley et al. On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data. Computational Statistics, v. 33, n. Ju 2018, p. 807-836, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00180-017-0788-1. Acesso em: 19 jan. 2026. -
APA
Bertoli, W., Conceição, K. S., Andrade, M. G. de, & Louzada, F. (2018). On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data. Computational Statistics, 33( Ju 2018), 807-836. doi:10.1007/s00180-017-0788-1 -
NLM
Bertoli W, Conceição KS, Andrade MG de, Louzada F. On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data [Internet]. Computational Statistics. 2018 ; 33( Ju 2018): 807-836.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00180-017-0788-1 -
Vancouver
Bertoli W, Conceição KS, Andrade MG de, Louzada F. On the zero-modified Poisson-Shanker regression model and its application to fetal deaths notification data [Internet]. Computational Statistics. 2018 ; 33( Ju 2018): 807-836.[citado 2026 jan. 19 ] Available from: https://doi.org/10.1007/s00180-017-0788-1 - A Bayesian approach for some zero-modified Poisson mixture models
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Informações sobre o DOI: 10.1007/s00180-017-0788-1 (Fonte: oaDOI API)
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