Practical methods for computing power in testing the multivariate general linear hypothesis (Q1061479)
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scientific article; zbMATH DE number 3911674
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Practical methods for computing power in testing the multivariate general linear hypothesis |
scientific article; zbMATH DE number 3911674 |
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Practical methods for computing power in testing the multivariate general linear hypothesis (English)
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1984
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Approximations (for the non-null mean case) to the following multivariate linear hypothesis tests are provided: Wilks, Hotelling, Pillai-Bartlett trace. These approximations use the non-central F distribution. Selection of a test statistic for experimental designs is made, and a table of notation equivalences for the tests and algorithms for power computation (direct and indirect) are given.
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MANOVA
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noncentral distributions
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Wilks' lambda
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Hotelling-Lawley trace
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Pillai-Bartlett trace
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F approximations
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