A simulation study exploring weighted likelihood models to recover unbiased population estimates from weighted survey data
A simulation study exploring weighted likelihood models to recover unbiased population estimates from weighted survey data
This report describes a simulation study exploring weighted-precision and weighted-likelihood models (R, Stan and JAGS software) to recover unbiased estimates of population sizes from weighted survey data.
Bayesian statistics, human population, human geography
University of Southampton
Leasure, Douglas
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Dooley, Claire
8caf4d90-5b57-4f92-a6e6-ff2399114af1
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Dooley, Claire
8caf4d90-5b57-4f92-a6e6-ff2399114af1
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Leasure, Douglas, Dooley, Claire and Tatem, Andrew
(2021)
A simulation study exploring weighted likelihood models to recover unbiased population estimates from weighted survey data.
University of Southampton
doi:10.5258/SOTON/WP00706
[Dataset]
Abstract
This report describes a simulation study exploring weighted-precision and weighted-likelihood models (R, Stan and JAGS software) to recover unbiased estimates of population sizes from weighted survey data.
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Published date: 23 June 2021
Keywords:
Bayesian statistics, human population, human geography
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Local EPrints ID: 449922
URI: http://eprints.soton.ac.uk/id/eprint/449922
PURE UUID: 77d2864d-da33-44a1-94ad-3c04a499901e
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Date deposited: 25 Jun 2021 16:31
Last modified: 06 May 2023 01:58
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Contributors
Creator:
Douglas Leasure
Creator:
Claire Dooley
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