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To reduce data dimensionality, principal component analysis was used to preprocess the EMG data before the discriminant analysis step.
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Subsequently, the discriminant analysis technique was employed.
To test for their marginal predictive value, we added each of the OCF variables to the discriminant analysis models.
Group memberships were analyzed and confirmed by the discriminant analysis.
The results of the discriminant analysis, appearing in Exhibit II, show a significant improvement over the best-performing operating cash flow ratio, the one incorporating current liabilities.
The model is based on a novel utilization of the discriminant analysis technique of multivariate statistics.
The discriminant analysis revealed two discriminant functions.
The discriminant analysis provided a discriminant score for each single patient.
According to the discriminant analysis, both cases were correctly classified.
According to the discriminant analysis, each patient was assigned a discriminant score that ranged from − 3.48 to + 3.07.
SPSS software was used for the discriminant analysis.
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