Quantile regression for nonlinear mixed effects models: a likelihood based perspective (2020)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00362-018-0988-y
- Subjects: DISTRIBUIÇÕES (PROBABILIDADE); ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; MODELOS NÃO LINEARES; VEROSSIMILHANÇA
- Keywords: Asymmetric Laplace distribution; Nonlinear mixed effects models; Quantile regression; SAEM algorithm
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2020
- Source:
- Título: Statistical Papers
- ISSN: 0932-5026
- Volume/Número/Paginação/Ano: v. 61, p. 1281-1307, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MORALES, Christian Eduardo Galarza et al. Quantile regression for nonlinear mixed effects models: a likelihood based perspective. Statistical Papers, v. 61, p. 1281-1307, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00362-018-0988-y. Acesso em: 12 jan. 2026. -
APA
Morales, C. E. G., Dávila, V. H. L., Cepero, L. M. C., & Louzada, F. (2020). Quantile regression for nonlinear mixed effects models: a likelihood based perspective. Statistical Papers, 61, 1281-1307. doi:10.1007/s00362-018-0988-y -
NLM
Morales CEG, Dávila VHL, Cepero LMC, Louzada F. Quantile regression for nonlinear mixed effects models: a likelihood based perspective [Internet]. Statistical Papers. 2020 ; 61 1281-1307.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1007/s00362-018-0988-y -
Vancouver
Morales CEG, Dávila VHL, Cepero LMC, Louzada F. Quantile regression for nonlinear mixed effects models: a likelihood based perspective [Internet]. Statistical Papers. 2020 ; 61 1281-1307.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1007/s00362-018-0988-y - New statistical process control charts for overdispersed count data based on the Bell distribution
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Informações sobre o DOI: 10.1007/s00362-018-0988-y (Fonte: oaDOI API)
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