One-sided tests for independence of seemingly unrelated regression equations
In a seemingly unrelated regression model with p([greater-or-equal, slanted]2) equations, this paper considers the problem of testing independence of equations against a one-sided alternative hypothesis. The power functions of invariant tests are evaluated and the locally most mean powerful invariant test is obtained.
Year of publication: |
2004
|
---|---|
Authors: | Kurata, Hiroshi |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 90.2004, 2, p. 393-406
|
Publisher: |
Elsevier |
Keywords: | Invariance One-sided hypothesis Locally most mean powerful test Seemingly unrelated regression model Independence |
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