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Discriminant function analysis is a multiple regression technique that determines the best weighting of variables to maximize the differences among groups and predict group membership (Huberty and Olejnik 2006).
The weighting of variables and dimensions in the AF method is based on normative decision that assigns an equal weight to each dimension and an equal weight to variables within each dimension.
Frequently, very little information is given on randomisation weights, weighting of variables or even the categories used in description of minimisation procedures.
The composite indicator, on the other hand, requires differential weighting of variables which can be achieved by either employing expert opinion or through a principal components analysis.
The increased accuracy but greater computational burden of the RFI method compared with kNNI is due to its adaptive weighting of variables that takes into account the response variable.
The 95th centiles of the distributions of simulated values are used to compare allocation schemes with varying input parameters (sample size, randomisation weighting, number and type of variables, weighting of variables).
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The coefficients indicated the weight of variables in the model, which determine the importance roles of the parameters in the photodegradation.
A contribution plot was then analyzed in order to determine the respective weight of variables that contributed most to the difference between groups.
Thus, the cutoffs and relative weights of variables within these scores are unlikely to stratify cardiovascular dysfunction similarly [ 33].
Weights of variables in its linear combination (factor score values), as indicators of variables involvement in a factor, reflect the partial variable variances in the factor variance.
These findings highlight the value and weight of variables included in SAPS III, as first-line customizations provided valid models in all studies.
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