Nov 4, 2010 · Nonlinear mixed-effects models are very useful to analyze repeated measures data and are used in a variety of applications.
Abstract Nonlinear mixed–effects models are very useful to analyze repeated measures data and are used in a vari- ety of applications. Normal distributions ...
This work proposes an exact estimation procedure to obtain the maximum likelihood estimates of the fixed-effects and variance components, using a stochastic ...
Nonlinear mixed–effects models are very useful to analyze repeated measures data and are used in a variety of applications. Normal distributions for random ...
We propose an exact estimation procedure to obtain the maximum likelihood estimates of the fixed-effects and variance components, using a stochastic ...
Estimation in nonlinear mixed-effects models using heavy-tailed ...
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Nov 4, 2010 · Abstract Nonlinear mixed-effects models are very useful to analyze repeated measures data and are used in a vari- ety of applications.
We propose an exact estimation procedure to obtain the maximum likelihood estimates of the fixed-effects and variance components, using a stochastic ...
(2011) Estimation in nonlinear mixed- effects models using heavy-tailed distributions. Statistics and Com- puting 51, 4354–4368, doi 10.1007/s11222-010-9212 ...
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Feb 9, 2022 · Our proposal is to compare two estimation methods in nonlinear mixed-effects models where the random components follow a multivariate scale ...
[7] developed a likelihood-based approach for estimating quantile regression models with correlated continuous longitudinal data using the asymmetric Laplace ...