… of discriminant analysis: separation, discrimi nation, and estimation. This paper reviews
discriminant analysis … , inter pretations, and uses of discrimination, estimation, and classifi cation. …

These procedures, collectively known as discriminant analysis, allow a researcher to study
the difference between two or more groups of objects with respect to several variables …

… The next step is to determine if the Dumont data meet the requirements for performing a
discriminant analysis. 1. Groups and Discriminant Variables Discriminant analysis requires a …

… The two problems for which a discriminant analysis is used—separation and classification—…
discriminant analysis are those pertaining to (a) distinguishing between a linear discriminant …

… Discriminant function analysis is a technique which allows the researcher to examine and …
use of discriminant analysis. The topics covered include a description of discriminant analysis, …

This paper summarizes work in discriminant analysis. Normal theory and discrete results are
discussed. Estimation of error rates and variable selection problems are indicated. Current …

… This paper will only delve into the use of discriminant analysis as parametric tests that are
… Next, we will discuss what a discriminant analysis is after which a case will be put forward …

… tions in the field of discriminant analysis, this volume is dedicated … The term discriminant
analysis in the title of these … a historical development of discriminant analysis methods are given …

… Analysis (PCA) and Linear Discriminant Analysis (LDA) are … Linear Discriminant Analysis
easily handles the case where … The use of Linear Discriminant Analysis for data classification is …

… Particular attention in this chapter is given to kernel discriminant analysis, where the … of
the posterior probabilities of group membership and the consequent discriminant rule. …