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.
|Number of pages||8|
|Journal||Discussiones Mathematicae. Probability and Statistics|
|Publication status||Published - 1 Jan 2003|
- sective F tests
- sub-normal models
- max-min tests