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 ...

Multivariate regression in high-dimensional settings addresses the simultaneous modelling of multiple response variables when the number of predictors greatly exceeds the number of observations. By ...

Multivariate cryptography exploits the computational difficulty of solving systems of multivariate polynomial equations over finite fields to construct public-key schemes that can resist both ...