Let A and B be independent, central Wishart matrices in p variables with common covariance and having m and n degrees of freedom, respectively. The distribution of the largest eigenvalue of (A + B)⁻¹ ...

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

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 statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

control of our processes to meet regulatory demand and deliver our products more efficiently and faster to the market. This symposium will introduce some of the basic statistical and chemometric ...