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restricted maximum likelihood approach.
(2013) used the marginal maximum likelihood approach.
In this loop, the maximum likelihood approach is used (estimate).
We propose a maximum likelihood approach to this end.
A maximum likelihood approach was used to fit possible kinetic equations.
Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.
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The basic estimation problem is introduced and the two-step maximum-likelihood approach is presented.
We propose a penalised maximum-likelihood approach combining JR and MRI-IR.
All analyses were performed in the software package Mx [53], using the raw-data full-information maximum-likelihood approach.
The maximum-likelihood approach yields information about both the population and each individual patient.
To provide faster estimation, FRAPPE and ADMIXTURE both use a maximum-likelihood approach.
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