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Model parameters were estimated using restricted maximum likelihood.
Estimated average slopes were computed using restricted maximum likelihood.
The models were estimated using restricted maximum likelihood (REML) as implemented in the MATLAB Statistics Toolbox.
A number of robustness checks using restricted samples confirm the results.
Finally, the best model as indicated by the likelihood ratio test was refitted using restricted maximum likelihood (REML).
Genetic parameters were estimated with single- and two-trait analyses using restricted maximum likelihood (REML) with animal models.
Models were estimated using restricted maximum log likelihood (REML), and compared on AIC-values and χ2-tests of the differences in log likelihoods.
In this work, we propose conditions for network coding coefficients which ensure a robust recovery of messages, by using restricted isometry property.
Time series statistical analysis was performed using restricted maximum likelihood.
These parameters are estimated from the data using restricted maximum likelihood methods {Laird, 1982 #3869}.
Significance was assessed using restricted maximum likelihood as implemented in SAS.
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