What Criteria Could You Differentiate Among Multiple Discriminant Analysis

927 Words Jul 12th, 2015 4 Pages

1. How would you differentiate among multiple discriminant analysis, regression analysis, logistic regression analysis, and analysis of variance?

The main difference is in the number of independent and dependent variables and the way in which these variables are measured. Note the following definitions:
In Multiple discriminant analysis (MDA), the predictor or independent variables are metric and the single criterion or dependent variable is non metric . In Regression Analysis , both the multiple independent variables and the single dependent variable are metric. In Analysis of Variance (ANOVA) , the single independent variable is non metric and the multiple dependent variables are metric.

2. What criteria could you use in deciding whether to stop a discriminant analysis after estimating the discriminant function(s)? After the interpretation stage?

We can use the criterion for stopping after the interpretation. Comparison of "hit-ratio" to some criterion. The minimum acceptable percentage of correct classifications usually is predetermined.

Another criterion for stopping is after derivation. The level of significance should be assessed. If the function is not significant at a predetermined level, for example, .05, then there is no reason for going further as it is less likely that the function will classify more accurately than would be expected by randomly classifying individuals into groups , that is, by chance.

3. What procedure would you follow in…
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