Optimal designs for multiple comparisons with the best
โ Scribed by Jane Y. Chang; Jason C. Hsu
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 856 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper we discuss a statistical method called multiple comparisons with the best, or MCB. Suppose that we have N populations, and population i has parameter value y i . Let y N max i1YFFFYN y i , the parameter value for the `best' population. Then MCB constructs joint conยฎdence intervals for
We consider some multiple comparison problems in repeated measures designs for data with ties, particularly ordinal data; the methods are also applicable to continuous data, with or without ties. A unified asymptotic theory of rank tests of Brunner, Puri and Sen (1995) and Akritas and Brunner (1997)