November 2013
Beginner to intermediate
288 pages
9h 3m
English
One of the important approaches to classifying observations is discriminant function analysis. Chapter 5, “Discriminant Function Analysis: The Basics,” and Chapter 6, “Discriminant Function Analysis: Further Issues,” in this book explore discriminant function analysis in considerable detail, but there’s some groundwork to lay before getting into those matters.
Some of that groundwork concerns multivariate analysis of variance, or MANOVA. The acronym MANOVA itself is symptomatic of the sad state of affairs regarding statistical terminology. Anyone might think that ...
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