1. Aspects of multivariate analysis -- 2. Matrix algebra and random vectors -- 3. Sample geometry and random sampling -- 4. The multivariate normal distribution -- 5. Inferences about a mean vector -- ...
Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS Software, Second Edition provides a unique approach to the topic, integrating ...
Archetypal Analysis is a matrix-factorisation approach that identifies a small set of extreme representative points, or archetypes, at the periphery of a multivariate dataset’s convex hull. Each data ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results