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 |
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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 |
Volume: | 2020 |
Issue: | 142 |
First Page: | Artikel 106837 |
Link: | https://doi.org/10.1016/j.csda.2019.106837 |
Zugriffsart: | campus |
Institutes: | FH Aachen / Fachbereich Medizintechnik und Technomathematik |
collections: | Verlag / Elsevier |