Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

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 ...

High-dimensional model selection in multivariate statistics addresses the challenge of choosing an appropriate statistical model when both the number of variables and the sample size can grow large ...

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

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...