discriminant function analysis

Discriminant function analysis is very similar to logistic regression, and both can be used to answer the same research questions.

Sequential analysis with more than two alternative hypotheses, and its relation to discriminant function analysis.

In simple terms, discriminant function analysis is classification - the act of distributing things into groups, classes or categories of the same type.

The morphometric parameters of the jejunal biopsy specimens before and after challenge were analysed by the discriminant function analysis.

Discriminant function analysis.

Of these the crucial deciding factors were plant height and canopy cover when the nest sites were compared with the random sites (discriminant function analysis).

Statistical approaches include factor analysis, Bayesian statistics, Poisson distribution, multivariate analysis, and discriminant function analysis of function words.

Discriminant function analysis is a statistical analysis to predict a categorical dependent variable (called a grouping variable) by one or more continuous or binary independent variables (called predictor variables).

The dose-effect relationship was confirmed by discriminant function analysis of the morphometric variables, which showed that the pretreatment group, the 100 mg/day challenge group, and the 500 mg/day challenge group were correctly classified in 90% of cases by functions including the individual intraepithelial lymphocyte count and villous height/crypt depth ratio (Fig 5).