Abstract
F tests that are specially powerful for selected alternatives are built for sub-normal models. In these models the observation vector is the sum of a vector that stands for what is measured with a normal error vector, both vectors being independent. The results now presented generalize the treatment given by Dias (1994) for normal fixed-effects models, and consider the testing of hypothesis on the ordering of mean values and components.
Original language | English |
---|---|
Pages (from-to) | 167-174 |
Number of pages | 8 |
Journal | Discussiones Mathematicae. Probability and Statistics |
Volume | 23 |
Issue number | 2 |
Publication status | Published - 1 Jan 2003 |
Keywords
- sective F tests
- sub-normal models
- max-min tests
- orderings