TY  - JOUR
A1  - Gaigall, Daniel
T1  - Rothman–Woodroofe symmetry test statistic revisited
JF  - Computational Statistics & Data Analysis
N2  - 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.
Y1  - 2020
U6  - https://doi.org/10.1016/j.csda.2019.106837
SN  - 0167-9473
VL  - 2020
IS  - 142
SP  - Artikel 106837
PB  - Elsevier
CY  - Amsterdam
ER  -