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 ...

This paper uses a topic from multivariate analysis, i.e., canonical correlation theory, in the development of a generalized correlation coefficient for simultaneous equation systems. Canonical ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of human ...

A fundamental problem in the origin of tektites is the estimation of the composition and nature of the parent material from which they were derived. Of equal importance is the nature and complexity of ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Summary statistics for full-scale IQ (n=257,828) were obtained from the Social Science Genetic Association Consortium. Genetic correlations between the multivariate GenLang results (blue-green), ...