The University of Southampton
University of Southampton Institutional Repository

Design-based confidence intervals and significance test for regression parameters using an empirical likelihood approach

Design-based confidence intervals and significance test for regression parameters using an empirical likelihood approach
Design-based confidence intervals and significance test for regression parameters using an empirical likelihood approach
Oguz Alper, Melike
d555d994-86fa-4835-80da-c5a3b0a91bcc
Berger, Yves G.
8fd6af5c-31e6-4130-8b53-90910bf2f43b
Oguz Alper, Melike
d555d994-86fa-4835-80da-c5a3b0a91bcc
Berger, Yves G.
8fd6af5c-31e6-4130-8b53-90910bf2f43b

Oguz Alper, Melike and Berger, Yves G. (2015) Design-based confidence intervals and significance test for regression parameters using an empirical likelihood approach. New Techniques and Technologies for Statistics (NTTS) 2015, Brussels, Belgium. 10 - 12 Mar 2015. 5 pp .

Record type: Conference or Workshop Item (Paper)
Text
OguzAlper-etal_NTTS2015_Unblinded_Abstract_OguzAlper-Berger.pdf - Accepted Manuscript
Download (218kB)

More information

Published date: March 2015
Venue - Dates: New Techniques and Technologies for Statistics (NTTS) 2015, Brussels, Belgium, 2015-03-10 - 2015-03-12
Related URLs:
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 375512
URI: http://eprints.soton.ac.uk/id/eprint/375512
PURE UUID: e4ec0e43-f1d5-416a-982c-d2a76a5ce431
ORCID for Yves G. Berger: ORCID iD orcid.org/0000-0002-9128-5384

Catalogue record

Date deposited: 27 Mar 2015 14:02
Last modified: 15 Mar 2024 03:01

Export record

Contributors

Author: Melike Oguz Alper
Author: Yves G. Berger ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×