This paper is concerned with an extended growth curve model with two withinindividual design matrices which are hierarchically related. For the model some random-coefficient covariance structures are reduced. LR tests for testing the adequacy of each of these random-coefficient structures and their
Tests for a family of random-effects covariance structures in a multivariate growth curve model
โ Scribed by Takahisa Yokoyama
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 445 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0378-3758
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โฆ Synopsis
In this paper we propose test statistics for a general hypothesis concerning the adequacy of multivariate random-effects covariance structures in a multivariate growth curve model with differing numbers of random effects (Lange, N., N.M. Laird, J. Amer. Statist. Assoc. 84 (198!)1 241 247). Since the exact likelihood ratio {LR) statistic for the hypothesis is complicated, it ~s suggested to use a modified LR statistic. An asymptotic expansion of the null distribution of the statistic is obtained. The exact LR statistic is also discussed. ,(: 1997 Elsevier Science B.V.
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