The transmuted log-logistic regression model: a new model for time up to first calving of cows (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00362-015-0671-5
- Subjects: ESTATÍSTICA; ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA
- Keywords: Log-logistic distribution; Maximum likelihood estimation; Transmuted map
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2016
- Source:
- Título do periódico: Statistical Papers
- ISSN: 0932-5026
- Volume/Número/Paginação/Ano: v. 57, n. 3, p. 623-640, Set. 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LOUZADA, Francisco e GRANZOTTO, Daniele C. T. The transmuted log-logistic regression model: a new model for time up to first calving of cows. Statistical Papers, v. 57, n. 3, p. 623-640, 2016Tradução . . Disponível em: https://doi.org/10.1007/s00362-015-0671-5. Acesso em: 01 jun. 2024. -
APA
Louzada, F., & Granzotto, D. C. T. (2016). The transmuted log-logistic regression model: a new model for time up to first calving of cows. Statistical Papers, 57( 3), 623-640. doi:10.1007/s00362-015-0671-5 -
NLM
Louzada F, Granzotto DCT. The transmuted log-logistic regression model: a new model for time up to first calving of cows [Internet]. Statistical Papers. 2016 ; 57( 3): 623-640.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s00362-015-0671-5 -
Vancouver
Louzada F, Granzotto DCT. The transmuted log-logistic regression model: a new model for time up to first calving of cows [Internet]. Statistical Papers. 2016 ; 57( 3): 623-640.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1007/s00362-015-0671-5 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1007/s00362-015-0671-5 (Fonte: oaDOI API)
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