Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11020290 | Journal of Statistical Planning and Inference | 2019 | 38 Pages |
Abstract
In this article, recent results about point processes are used in sampling theory. Precisely, we define and study a new class of sampling designs: determinantal sampling designs. The law of such designs is known, and there exists a simple selection algorithm. We compute exactly the variance of linear estimators constructed upon these designs by using the first and second order inclusion probabilities. Moreover, we obtain asymptotic and finite sample theorems. We construct explicitly fixed size determinantal sampling designs with given first order inclusion probabilities. We also address the search of optimal determinantal sampling designs.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
V. Loonis, X. Mary,