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Statistical inference under non-ignorable sampling and non-response. An empirical likelihood approach

Statistical inference under non-ignorable sampling and non-response. An empirical likelihood approach
Statistical inference under non-ignorable sampling and non-response. An empirical likelihood approach
empirical likelihood, kernel smoothing, model testing, NMAR non-response, respondents model, population model, sample mode
University of Southampton
Feder, Moshe
f19a266e-c29c-4385-96bc-fdd569622647
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc
Feder, Moshe
f19a266e-c29c-4385-96bc-fdd569622647
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc

Feder, Moshe and Pfeffermann, Danny (2015) Statistical inference under non-ignorable sampling and non-response. An empirical likelihood approach Southampton, GB. University of Southampton 22pp.

Record type: Monograph (Working Paper)
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MF-draft-2015-06-02 (2).pdf - Other
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More information

Published date: 2015
Keywords: empirical likelihood, kernel smoothing, model testing, NMAR non-response, respondents model, population model, sample mode
Organisations: Statistical Sciences Research Institute

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Local EPrints ID: 378245
URI: http://eprints.soton.ac.uk/id/eprint/378245
PURE UUID: ee442073-8000-4c2f-b606-7346ecda9ab7

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Date deposited: 01 Jul 2015 10:54
Last modified: 14 Mar 2024 20:19

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Contributors

Author: Moshe Feder

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