Multivariate analysis with a stationary time series covariance structure |
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Authors: | Philip Byrne |
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Affiliation: | Department of Mathematics , College of St. Benedict, St. Joseph , MN, 56374 |
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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. |
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Keywords: | Growth curves manova repeated measurements |
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