Determinantal Sampling Designs

Fuente: arXiv
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Hauptverfasser: Loonis, Vincent, Mary, Xavier
Format: Preprint
Veröffentlicht: 2015
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author Loonis, Vincent
Mary, Xavier
author_facet Loonis, Vincent
Mary, Xavier
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_1510_06618
institution arXiv
publishDate 2015
record_format arxiv
spellingShingle Determinantal Sampling Designs
Loonis, Vincent
Mary, Xavier
Methodology
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.
title Determinantal Sampling Designs
topic Methodology
url https://arxiv.org/abs/1510.06618