What is Discriminant Analysis? A v ery commonly used method of classification is the Discriminant Analysis. For the purpose of creating a classifier, the parameters for the Gaussian distribution are estimated by the fitting function for every class. In order to predict new data classes, the class having the lowest cost of misclassification is found by the trained classifier.
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Start your review of Discriminant Analysis Write a review Aug 07, Lawrence Linnen rated it it was amazing Klecka presents an introduction to several related statistical procedures known as discriminant analysis, which is a technique for examining differences between two or more groups of objects with respect to several variables simultaneously.
The book introduces canonical discriminant functions, classification functions and procedures, and selection criteria for the inclusion of variables in discriminant analysis. Klecka derives canonical discriminant function coefficients, provides a spatial Klecka presents an introduction to several related statistical procedures known as discriminant analysis, which is a technique for examining differences between two or more groups of objects with respect to several variables simultaneously.
Klecka derives canonical discriminant function coefficients, provides a spatial interpretation of them, and discusses the interpretation of canonical discriminant functions. Unstandardized and standardized coefficients are discussed, as well as procedures to determine how many discriminant functions are significant. He includes a discussion of the violation of the assumptions which underlie discriminant analysis.
It was a helpful method of finding out which variables "discriminated" between two groups. One simple example Page 5 is the value of this statistical technique to "isolate variables which discriminate among citizens who will vote for Democreats versus Republicans. However, while using this technique I did come to appreciate its value.
This book was a useful In the late s and early s, I used discriminant analysis quite a bit. This book was a useful aid to me as I worked through interpreting results. For those who choose to use discrimnant analysis, this volume--while dated--can be a welcome resource.
KLECKA DISCRIMINANT ANALYSIS PDF
Kakasa Lawrence Erlbaum Associates, Inc. Huberty recognized that reducing the number of variables is sometimes warranted, as a preliminary analysis, e. However, the correct degrees of freedom are given in Analysis 2. The use of structure coefficients in regression research. It is unlikely that these small differences, which may be due to sampling error, will replicate.