Transcription of Chapter 440 Discriminant Analysis - Statistical Software
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Chapter 440 Discriminant Analysis - Statistical Software
NCSS Statistical Software 440-1 NCSS, LLC. All Rights Reserved. Chapter 440 Discriminant Analysis Introduction Discriminant Analysis finds a set of prediction equations based on independent variables that are used to classify individuals into groups. There are two possible objectives in a Discriminant Analysis : finding a predictive equation for classifying new individuals or interpreting the predictive equation to better understand the relationships that may exist among the variables. In many ways, Discriminant Analysis parallels multiple regression Analysis .
Discriminant analysis does not make the strong normality assumptions that MANOVA does because the emphasis is on classification. A sample size of at least twenty observ ations in the smallest group is usually adequate to ensure robustness of …
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