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 ...

Assessing multivariate normality is a fundamental prerequisite in many statistical analyses, including multivariate regression, principal component analysis and discriminant analysis. A broad spectrum ...

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 ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...