REML in nonlinear mixed-effects models with heavy-tailed distributions (2017)
- Authors:
- Autor USP: NOVELI, CIBELE MARIA RUSSO - ICMC
- Unidade: ICMC
- Subjects: INFERÊNCIA ESTATÍSTICA; ESTATÍSTICA APLICADA; REGRESSÃO LINEAR; OTIMIZAÇÃO ESTOCÁSTICA
- Keywords: Nonlinear mixed models; restricted maximum likelihood; MCEM algorithm
- Language: Inglês
- Imprenta:
- Publisher: Statistical Modelling Society
- Publisher place: Amsterdam
- Date published: 2017
- Source:
- Título do periódico: Proceedings
- Conference titles: International Workshop on Statistical Modelling - IWSM
-
ABNT
GOMES, Jose Clelto Barros e RUSSO, Cibele Maria. REML in nonlinear mixed-effects models with heavy-tailed distributions. 2017, Anais.. Amsterdam: Statistical Modelling Society, 2017. Disponível em: https://iwsm2017.webhosting.rug.nl/IWSM_2017_V1.pdf. Acesso em: 18 abr. 2024. -
APA
Gomes, J. C. B., & Russo, C. M. (2017). REML in nonlinear mixed-effects models with heavy-tailed distributions. In Proceedings. Amsterdam: Statistical Modelling Society. Recuperado de https://iwsm2017.webhosting.rug.nl/IWSM_2017_V1.pdf -
NLM
Gomes JCB, Russo CM. REML in nonlinear mixed-effects models with heavy-tailed distributions [Internet]. Proceedings. 2017 ;[citado 2024 abr. 18 ] Available from: https://iwsm2017.webhosting.rug.nl/IWSM_2017_V1.pdf -
Vancouver
Gomes JCB, Russo CM. REML in nonlinear mixed-effects models with heavy-tailed distributions [Internet]. Proceedings. 2017 ;[citado 2024 abr. 18 ] Available from: https://iwsm2017.webhosting.rug.nl/IWSM_2017_V1.pdf - Modelos não lineares elípticos para dados correlacionados
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