| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1149993 | Journal of Statistical Planning and Inference | 2008 | 9 Pages |
Abstract
The paper introduces DT-optimum designs that provide a specified balance between model discrimination and parameter estimation. An equivalence theorem is presented for the case of two models and extended to an arbitrary number of models and of combinations of parameters. A numerical example shows the properties of the procedure. The relationship with other design procedures for parameter estimation and model discrimination is discussed.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
A.C. Atkinson,