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Multivariate analysis with a stationary time series covariance structure
Authors:Philip Byrne
Institution:Department of Mathematics , College of St. Benedict, St. Joseph , MN, 56374
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
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