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In this paper, the evaluation, combining and initial reduction of variables is presented, along with assessment of the hypotheses in the preliminary statistical testing.
Along with the reduction of variables by half, the integration can facilitate the preliminary design, and is a small but important advance in the consideration of MSW non-homogeneity.
In fact, (Haj-Ali and Aboudi, 2009) have shown that the same reduction of variables can be achieved by a simple static condensation carried out at the global system of equations instead of introducing intermediate variables.
The same approach of reduction of variables has been also applied to a graded potential system.
All variables in the logit model for determining the probability of CS scar dehiscence had high P-values, making it necessary to perform a reduction of variables (Table 6).
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We also develop and demonstrate an integrated resampling-based approach to the reduction of variable space for the learning of the network.
The main tool for the solution is the use of column reduction (elimination of variables by reducing their coefficients to zero) to obtain an equivalent configuration.
This reduction of variability in the explained variable partly hides the impacts of the explaining variables.
One way, which proved successful in the NUSAP method, for reduction of assessment variables is a classification of input variables and a consequent sensitivity analysis to discern highly relevant input variables [25].
Conclusively, the results of the principal component analysis did not lead to a further reduction of dependent variables or selection of a representative dependent variable, because of the correlation structure amongst them.
At the end of data validation and cleaning, data will be prepared for analysis through reduction of some variables into fewer categories such as occupation and generation of new variables such as body mass index.
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