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Prior systematic review of the literature along with expert opinion guided the selection of variables to be collected.
Robust selection of variables in a linear regression model is investigated.
Model utility is highlighted with respect to selection of variables required for measurement, control and process design.
Many studies have investigated the selection of variables (e.g., Krishnan, et al., 1992; Fraleigh, et al., 1998).
Selection of variables and participants.
Selection of variables prior to, and not within, cross-validation.
Therefore, the selection of variables is tailored to the context of migration to cloud computing.
In the regression analyses, we used backward selection of variables with a P value <0.1.
A selection of variables based on the algorithm of complete enumeration and Bayesian information criterion (BIC).
Ambroise and McLachlan [10] showed how results are biased when selection of variables is done prior to cross-validation.
The selection of variables to be included in the model was performed in two phases for each species independently.
More suggestions(15)
selection of influences
selection of variations
selection of fields
selection of components
determination of variables
selection of traits
variety of variables
selection of individuals
selection of contributors
selection of dimensions
selection of highlights
selection of reports
selection of titles
selection of charts
selection of comments
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