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Empirical likelihood approaches in survey sampling

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
Berger, Yves
8fd6af5c-31e6-4130-8b53-90910bf2f43b

Berger, Yves (2018) Empirical likelihood approaches in survey sampling. The Survey Statistician, (78), 22-31.

Record type: Article

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).

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Published date: July 2018
Additional Information: http://isi-iass.org/home/services/the-survey-statistician/
Keywords: Design-based approach, estimating equations, inclusion probabilities, side information, Stratification

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Local EPrints ID: 422935
URI: https://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: 08 Aug 2018 16:30

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