|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 2 of 21 found articles
| Title: |
A characterization of the independence - distribution - preserving covariance structure for the multivariate maximum squared - radii statistic |
| Author: |
Young, Dean M. Seaman, John W. Meaux, Laurie M. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 21 (1992) nr. 6 pages 1605-1613 |
| Year: |
1992 |
| Contents: |
Necessary and sufficient conditions on the observation covariance structure and on the set of linear transformations are given for which the distribution of the multivariate maximum squared - radii statistic for detecting a single multivariate outlier is invariant from the distribution assuming the usual independence covariance structure. Thus, we extend the work of Baksalary and Puntanen (1990), who have given necessary and sufficient conditions for an independence-distribution-preserving covariance structure for Grubbs' statistic for detecting a univariate outlier. We also extend the work of Marco, Young, and Turner (1987) and Pavur and Young (1991), who have given sufficient conditions for an independence-distribution-preserving dependency structure for the multivariate squared - radii statistic. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 21 found articles
| << previous | next >> |