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A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median

  • Published:2016-12 Issue: Volume:104 Page:1-9
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Lyubchich Vyacheslav,Wang Xingyu,Heyes Andrew,Gel Yulia R.

Funder

National Science Foundation

Mitacs Canada

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference46 articles.

1. Testing symmetry;Antille;J. Amer. Statist. Assoc.,1982

2. On the asymptotic accuracy of the bootstrap under arbitrary resampling size;Arcones;Ann. Inst. Statist. Math.,2003

3. Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data;Bacci;Comput. Statist. Data Anal.,2014

4. Two modified Wilcoxon tests for symmetry about an unknown location parameter;Bhattacharya;Biometrika,1982

5. Some asymptotic theory for the bootstrap;Bickel;Ann. Statist.,1981

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1. Test for diagonal symmetry in high dimension;Statistics & Probability Letters;2024-02

2. Tests of symmetry based on the bootstrap estimation of the asymptotic variance of a skewness coefficient;Information Sciences;2023-10

3. Testing bivariate symmetry;Journal of Nonparametric Statistics;2023-06-14

4. Using Triples to Assess Symmetry Under Weak Dependence;Journal of Business & Economic Statistics;2021-07-26

5. Testing for central symmetry and symmetry about an axis;Communications in Statistics - Simulation and Computation;2021-01-03
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