|
| << 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 12 of 19 found articles
| Title: |
Multiple comparisons with 'best' for multivariate normal populations |
| Author: |
Bofinger, Eve |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 21 (1992) nr. 4 pages 915-941 |
| Year: |
1992 |
| Contents: |
Comparisons of multivariate normal populations are made using a mul-tivariate approach (instead of reducing the problem to a univariate one). A rather negative finding is that, for comparisons with the 'best' of each variate, repeated univariate comparisons appear to be almost as efficient as multivariate comparisons, at least for the bivariate case and, under certain circumstances, for higher dimensional cases. Investigations are done on comparisons with the 'MAX-best' population (that one having the largest maximum of the marginal means), the 'MIN-best' (having the largest minimum) and the 'O-best' (being closest to largest in all marginal means). Detailed results are given for the bivariate normal with extensions indicated for the multivariate. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 12 of 19 found articles
| << previous | next >> |