Meanings of stepwise discriminant in English

Data were analysed using analysis of variance and stepwise discriminant function.

A stepwise discriminant analysis and nonparametric classifier were applied.

A stepwise discriminant function analysis was used to test the performance of appropriately designed index combination.

Leave one-out stepwise discriminant analysis was performed.

With stepwise discriminant analysis method, the mean perimeter was selected as the best predictor of cardiac death.

Studied with Wilk's method for stepwise discriminant analysis tumor volume and performance status significantly predicted the patients who had complete remission.

Forward stepwise discriminant analysis was adopted in order to identify the quantitative features which contributed most significantly to discriminating between the two groups.

To determine the optimal combination of these parameters for prognostic assessment, we used a stepwise discriminant analysis to obtain two linear discriminant functions.

Stepwise discriminant analysis and a nonparametric classifier were applied to derive estimates for a case diagnosis correct classification rate.

Stepwise discriminant analysis revealed that in men, serum high density lipoprotein cholesterol had the highest power to discriminate for CAD.

Stepwise discriminant function analysis showed that the most efficient overall classification between controls and individuals with MCI subjects was achieved with ERC measurements (65.9%).