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As the inverse of the information matrix provides a naive variance-covariance estimation, not correctly estimating the true variance, a robust "sandwich" variance-covariance estimation method is preferred.
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When the heterogeneity hypothesis appeared relevant, the random-effect model with DerSimonian and Laird estimation method was preferred [ 47].
Again, distributed estimation methods are preferred over centralized methods.
This method is preferred because of space- and time-efficiency.
For these reasons, the phen method is preferred and recommended.
FW method is preferred if both of the methods are applicable due to its simplicity.
However, in some cases, a receptor-targeted method is preferred.
This method is preferred by many museum curators for tapestries.
To verify the model, two parameter estimation methods are initially tested on simulated data using (1) the state variable filter, and (2) a Markov based moment method the moment method being preferred in this particular application.
Less formal methods were preferred where the circumstances were appropriate.
Nonparametric methods were preferred to handle non-normally distributed data.
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