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
2015
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)
Text
MF-draft-2015-06-02 (2).pdf
- Other
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Published date: 2015
Keywords:
empirical likelihood, kernel smoothing, model testing, NMAR non-response, respondents model, population model, sample mode
Organisations:
Statistical Sciences Research Institute
Identifiers
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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