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Exact(5)
Height in regression models was, therefore, transformed using a natural log transformation after first adding one to each height to adequately deal with bark volume measurements at the butt (height = 0).
Including the random effects in each of the models was therefore critical for obtaining accurate inference on the importance of the explanatory variables on student and instructor pacing perceptions.
The comparable performance of the simple SCORTEN model to these more complex models was therefore impressive.
Addition of testosterone to the regression models was therefore likely to be redundant, and reduced the efficiency of the model.
Significance for random effects in these models was therefore estimated on the basis of z-scores calculated as the ratio of the random effect estimate to the standard error on the estimate.
Similar(55)
Coarser models are therefore used.
Our models are, therefore, exactly identified [36].
The two models were therefore not significantly different.
Benchmarking and improvement of these models are therefore important.
Posture prediction models are therefore considered indispensable tools.
Plume rise models are therefore an important part of several dispersion models.
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