| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10526254 | Statistics & Probability Letters | 2005 | 7 Pages |
Abstract
The development of new sampling methods allows the selection of large balanced samples. In this paper we propose a method for computing optimal inclusion probabilities for balanced samples. Next, we show that the optimal Neyman allocation is a particular case of this method.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yves Tillé, Anne-Catherine Favre,