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Details for article 10 of 22 found articles
| Title: |
Detection of multivariate outliers in linear mixed models |
| Author: |
Naes, Tormod |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 15 (1986) nr. 1 pages 33-47 |
| Year: |
1986 |
| Contents: |
The problem treated in this paper is detection of multivariate outliears in linear mixed models. A criterion is proposed which is based on residuals from generalized least squares estimation of the fixed component. It is shown that this criterion can be written as a sum of two independent terms (under normality assumptions) which are able to dicover different types of outliers. One of these terms measures the distance from the observation to the space spanned by the colums of the disign matrices of both the fixed and random component. The other one measures distance from the true value of the random component to its mean |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 10 of 22 found articles
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