MULTIVARIATE STATISTICAL METHODS fills a void in the marketplace, striking a crucial balance between the technical information and real-world applications of multivariate statistics. Donald Morrison has taught this course at the Wharton School for 33 years, and he has integrated his demonstrably successful teaching style into this textbook.
Ch.1 Samples From The Multivariate Normal Population
Ch.2 Tests Of Hypotheses On Means
Ch.3 The Multivariate Analysis Of Variance
Ch.4 Classification By Discriminant Functions
Ch.5 Inferences From Covariance Matrices
Ch.6 The Structure Of Multivariate Observations:Principal Components
Ch.7 The Structure Of Multivariate Observations:Factor Analysis
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