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 ...

Multivariate count data arise in settings where two or more non‐negative integer outcomes are observed jointly. Such data feature prominently in fields as diverse as ecology (species abundances across ...