Rothman–Woodroofe symmetry test statistic revisited
- The Rothman–Woodroofe symmetry test statistic is revisited on the basis of independent but not necessarily identically distributed random variables. The distribution-freeness if the underlying distributions are all symmetric and continuous is obtained. The results are applied for testing symmetry in a meta-analysis random effects model. The consistency of the procedure is discussed in this situation as well. A comparison with an alternative proposal from the literature is conducted via simulations. Real data are analyzed to demonstrate how the new approach works in practice.
| Author: | Daniel Gaigall |
|---|---|
| DOI: | https://doi.org/10.1016/j.csda.2019.106837 |
| ISSN: | 0167-9473 |
| Parent Title (English): | Computational Statistics & Data Analysis |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2020 |
| Date of the Publication (Server): | 2023/01/16 |
| Volume: | 2020 |
| Issue: | 142 |
| First Page: | Artikel 106837 |
| Link: | https://doi.org/10.1016/j.csda.2019.106837 |
| Zugriffsart: | bezahl |
| Institutes: | FH Aachen / Fachbereich Medizintechnik und Technomathematik |
| collections: | Verlag / Elsevier |
