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| Analysis of Covariance | 1 |
| Data Analysis | 1 |
| Hypothesis Testing | 1 |
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| Carlson, James E. | 1 |
| Timm, Neil H. | 1 |
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Carlson, James E.; Timm, Neil H. – 1980
This paper presents two extensions of the full-rank multivariate linear model that are particularly useful in multivariate analysis of covariance (MANCOVA) and repeated measurements designs. After a review of the basic full-rank model, an extension is described which allows restrictions of a more general nature. This model is useful in the…
Descriptors: Analysis of Covariance, Data Analysis, Hypothesis Testing, Mathematical Formulas
