Abstract
An example is used to show how, in clearly formulated problems, nonobservable regressors may emerge. The model matrices and goal functionsfor the adjustment are discussed. The propose being the adjustment of notonly the regression coefficients but also of the non observable regressors.Algorithms are presented to carry out the adjustments. It is discussed howthe adjustment may be validated through the analysis of the residues.
| Original language | English |
|---|---|
| Pages (from-to) | 97-103 |
| Number of pages | 7 |
| Journal | Biometrical Letters |
| Volume | 44 |
| Issue number | 2 |
| Publication status | Published - 1 Jan 2007 |
Keywords
- Non observable regressors
- regression coefficients
- Algorithms