Exact(2)
Stepwise procedures have been found to produce poor variable screens [81].
Stepwise procedures have been found to produce poor variable screens [ 81].
Similar(58)
Models were constructed based on causal diagrams and variable screening.
In the variable screening, a 25 1 fractional factorial design was used to examine the experimental variables.
Performances of the variable screening methods are examined by building usability models.
Based upon this the Lasso method [84] was used for the variable screening of the predictive models.
A variable screening procedure was performed in order to determine which variables had a higher influence on the dynamic response of the bridge.
For high-dimensional additive or approximately additive models, the PVIM is much more efficient than Morris' screening design when used for both variable importance ranking and variable screening.
If a published biomass equation is the result of an intensive model and variable screening process, we must expect optimism in published statistics and model-bias [68].
Table 1 presents the p value, A-D statistical variable, screen for the optimal distribution, and parameter estimation obtained from the maximum likelihood estimation method.
This correlation reduces the efficiency of variable screening methods applied to this data, meaning that more plots will be required to achieve the same level of certainty.
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