Dr Reza Drikvandi reza.drikvandi@durham.ac.uk
Associate Professor
A bootstrap test for symmetry based on ranked set samples
Drikvandi, Reza; Modarres, Reza; Jalilian, Abdullah H
Authors
Reza Modarres
Abdullah H Jalilian
Abstract
To test the hypothesis of symmetry about an unknown median we propose the maximum of a partial sum process based on ranked set samples. We discuss the properties of the test statistic and investigate a modified bootstrap ranked set sample bootstrap procedure to obtain its sampling distribution. The power of the new test statistic is compared with two existing tests in a simulation study.
Citation
Drikvandi, R., Modarres, R., & Jalilian, A. H. (2011). A bootstrap test for symmetry based on ranked set samples. Computational Statistics & Data Analysis, 55(4), 1807-1814. https://doi.org/10.1016/j.csda.2010.11.012
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 13, 2010 |
Online Publication Date | Dec 1, 2010 |
Publication Date | 2011-04 |
Deposit Date | Oct 6, 2020 |
Publicly Available Date | Nov 2, 2020 |
Journal | Computational Statistics & Data Analysis |
Print ISSN | 0167-9473 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 55 |
Issue | 4 |
Pages | 1807-1814 |
DOI | https://doi.org/10.1016/j.csda.2010.11.012 |
Files
Accepted Journal Article
(157 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2010 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
High dimensional change points: challenges and some proposals
(2023)
Conference Proceeding
MEGH: A parametric class of general hazard models for clustered survival data
(2022)
Journal Article
Diagnostic tools for random effects in general mixed models
(2021)
Conference Proceeding
Invited session "Recent advances in biostatistics"
(2020)
Conference Proceeding
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search