Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4642349 | Journal of Computational and Applied Mathematics | 2008 | 9 Pages |
Abstract
We consider one-way classification model in experimental design when the errors have generalized secant hyperbolic distribution. We obtain efficient and robust estimators for block effects by using the modified maximum likelihood estimation (MML) methodology. A test statistic analogous to the normal-theory F statistic is defined to test block effects. We also define a test statistic for testing linear contrasts. It is shown that test statistics based on MML estimators are efficient and robust. The methodology readily extends to unbalanced designs.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yildiz E. Yilmaz, Aysen D. Akkaya,