Empirical likelihood approaches in survey sampling
Empirical likelihood approaches in survey sampling
There are two different empirical likelihood approaches for complex sampling designs: the “pseudo-empirical likelihood ” introduced by Chen and Sitter (1999) and the “unequal probability empirical likelihood ” approach proposed by Berger and Torres (2014, 2016). Both approaches are described and reviewed critically. We do not pretend to give an exhaustive account of all the applications of empirical likelihood in survey sampling. This paper is an extended version of Berger (2018b).
Design-based approach, estimating equations, inclusion probabilities, side information, Stratification
22-31
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
July 2018
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Berger, Yves
(2018)
Empirical likelihood approaches in survey sampling.
The Survey Statistician, (78), .
Abstract
There are two different empirical likelihood approaches for complex sampling designs: the “pseudo-empirical likelihood ” introduced by Chen and Sitter (1999) and the “unequal probability empirical likelihood ” approach proposed by Berger and Torres (2014, 2016). Both approaches are described and reviewed critically. We do not pretend to give an exhaustive account of all the applications of empirical likelihood in survey sampling. This paper is an extended version of Berger (2018b).
Text
Berger_2018_Survey_Statistician
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Published date: July 2018
Keywords:
Design-based approach, estimating equations, inclusion probabilities, side information, Stratification
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Local EPrints ID: 422935
URI: http://eprints.soton.ac.uk/id/eprint/422935
PURE UUID: e1ca6c06-6bcd-4767-b8b9-1af65736cb93
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Date deposited: 08 Aug 2018 16:30
Last modified: 16 Mar 2024 03:03
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