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The statistical procedure used was multiple stepwise discriminant analysis.
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The contribution of each variable to caste discrimination was examined using stepwise discriminant function analysis [ 34].
A summary of the stepwise discriminant analysis with the four incorporated discriminating variables is listed in Table 5.
The data consisting of these 34 independent variables were then subjected to a stepwise discriminant analysis.
Using the Stepwise Discriminant Analysis, the best predictors were evaluated from basic soil classification parameters.
Stepwise discriminant analysis was applied to identify the dentoskeletal variables that best separate the groups.
The issue of noise and redundant feature variables in classification problems has been well addressed in statistical stepwise discriminant analysis.
The parent sample was then subjected to a stepwise discriminant analysis, which included all variables that could possibly influence a clinician's decision towards extraction treatment.
The stepwise discriminant analysis is done by SPSS 17 software for all these four groups/sectors of consumers for each of the seven dimensions separately.
A stepwise discriminant function analysis was used to identify the important discriminant factors associated with dental caries and also to segregate the subjects as those who were poor and good dental caries status.
It is designed on the basis of four classification methods: stepwise discriminant analysis, stepwise logistic regression; intuitionistic fuzzy Voronoi diagrams and non-pulmonary weaning index, applied to 17 features (variables).
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