Bayesian model assisted design-based estimators of the size, total and mean of a hard-to-reach population from a link-tracing sample with initial cluster sample / by Martin H. Félix-Medina.: CS11-522/2022-1-15E-PDF

"We present design-based Horvitz-Thompson and multiplicity estimators of the population size, as well as of the total and mean of a response variable associated with the elements of a hidden population to be used with the link-tracing sampling variant proposed by Félix-Medina and Thompson (2004). Since the computation of the estimators requires to know the inclusion probabilities of the sampled people, but they are unknown, we propose a Bayesian model which allows us to estimate them, and consequently to compute the estimators of the population parameters. The results of a small numeric study indicate that the performance of the proposed estimators is acceptable"--Abstract.

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publications.gc.ca/pub?id=9.943103&sl=0

Publication information
Department/Agency Statistics Canada, issuing body.
Title Bayesian model assisted design-based estimators of the size, total and mean of a hard-to-reach population from a link-tracing sample with initial cluster sample / by Martin H. Félix-Medina.
Variant title At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society
Series title [Statistics Canada international symposium series : proceedings], 1709-8211
Publication type Series - View Master Record
Language [English]
Other language editions [French]
Format Electronic
Electronic document
Note(s) Cover title.
Issued also in French under title: Estimateurs bayésiens fondés sur le plan de sondage et assistés par un modèle de la taille, du total et de la moyenne d'une population difficile à joindre depuis un échantillon par dépistage de liens avec un échantillon initial en grappes.
Includes bibliographical references.
Publishing information [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024.
Author / Contributor Félix-Medina, Martin H., author.
Description 1 online resource (8 unnumbered pages).
Catalogue number
  • CS11-522/2022-1-15E-PDF
Departmental catalogue number 11-522-X
Subject terms Sampling (Statistics)
Bayesian statistical decision theory.
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