Multivariate analysis with a stationary time series covariance structure

Abstract

When a covariance matrix has a pattern associated with a stationary time series on the errors, it is shown how certain hypothesis testing problems In multivariate analysis can be transformed into a product of two similar multivariate problems that each involve unpatterned covariance matrices.

Keywords:

• Growth curves
• manova
• repeated measurements