Abstract
Multiple endpoint testing procedures concerned with k means are viewed as decision rules for a 2k finite action problem. A loss function which is the sum of losses for each endpoint problem is assumed. Procedures including the single-step, step-down, and step-up are considered. Two types of monotonicity of procedures are defined. In addition, a compelling property, namely monotonicity of the risk function is also studied for each procedure. Some further results relating monotone procedures to a complete class, to Bayes procedures and likelihood procedures are presented.
Original language | English (US) |
---|---|
Pages (from-to) | 17-30 |
Number of pages | 14 |
Journal | Journal of Statistical Planning and Inference |
Volume | 125 |
Issue number | 1-2 |
DOIs | |
State | Published - Oct 2004 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics
Keywords
- Familywise error rate
- Finite action problems
- Global problem
- Intraclass correlation
- Single-step
- Step-down
- Step-up