Quantile regression for nonlinear mixed effects models: a likelihood based perspective (2020)
Fonte: Statistical Papers. Unidade: ICMC
Assuntos: DISTRIBUIÇÕES (PROBABILIDADE), ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELOS NÃO LINEARES, VEROSSIMILHANÇA
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: 05 nov. 2024.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-yNLM
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 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00362-018-0988-yVancouver
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 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00362-018-0988-y