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Details for article 5 of 17 found articles
| Title: |
Covariance structure selection in general mixed models |
| Author: |
Wolfinger, Russ |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 22 (1993) nr. 4 pages 1079-1106 |
| Year: |
1993 |
| Contents: |
This article describes a unified approach to variance modeling and inference in the context of a general form of the normal-theory linear mixed model. The primary variance modeling objects are parameterized covari-ance structures, examples being diagonal, compound-symmetry, unstructured, timeseries, and spatial. These structures can enter in two different places in the general mixed model, and the combination of one or both of these places with the variety of structures provides a rich class of variance models. The approach is likelihood-based, and involves the use of both maximum likelihood and restricted maximum likelihood. Two examples provide illustration. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 5 of 17 found articles
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