Determinantal sampling designs

被引:3
|
作者
Loonis, V. [1 ]
Mary, X. [2 ]
机构
[1] Insee, Div Methodes & Referentiels Geog, Paris, France
[2] Univ Paris Nanterre, ModalX, UPL, F-92000 Nanterre, France
关键词
NEGATIVE DEPENDENCE; MATRICES; THEOREM;
D O I
10.1016/j.jspi.2018.05.005
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 88
页数:29
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