| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1149709 | Journal of Statistical Planning and Inference | 2009 | 5 Pages |
Abstract
General linear models with a common design matrix and with various structures of the variance-covariance matrix are considered. We say that a model is perfect for a linearly estimable parametric function, or the function is perfect in the model, if there exists the best linear unbiased estimator. All perfect models for a given function and all perfect functions in a given model are characterized.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Czesâªaw StÄpniak,