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 ...

Multivariate statistical inference encompasses techniques for analysing and drawing conclusions from data in which multiple interrelated variables are observed simultaneously. Unlike univariate ...

Modern multivariate analysis relies heavily on probabilistic modelling to capture the joint behaviour of multiple interdependent variables. At its core lies the formulation of a joint probability ...

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 -- ...