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Details for article 7 of 7 found articles
| Title: |
Testing Linear Hypotheses in Generalized Multivariate Linear Models |
| Author: |
Kleinbaum, David G. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 1 (1973) nr. 5 pages 433-457 |
| Year: |
1973 |
| Contents: |
This study presents a general large sample procedure for testing linear hypotheses in multivariate linear models for which observations may be missing and/or for which different design matrices correspond to different response variates. The theoretical foundation of this method is due to Wald. The asymptotic null distribution of the test statistic is a chi square variable. The test statistic is a quadratic form constructed from a BAN estimator of a linear function of the unknown parameters in the expectation model and a consistent estimator of the variance-covariance matrix. For the special case of the standard multivariate analysis of variance model, the Wald statistic is exactly equivalent to Hotelling's Trace Criterion. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 7 of 7 found articles
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