An Inverse Normal Transformation Solution for the comparison of two samples that contain both paired observations and independent observations
Computation
2017-08-02 v1
Abstract
Inverse normal transformations applied to the partially overlapping samples t-tests by Derrick et.al. (2017) are considered for their Type I error robustness and power. The inverse normal transformation solutions proposed in this paper are shown to maintain Type I error robustness. For increasing degrees of skewness they also offer improved power relative to the parametric partially overlapping samples t-tests. The power when using inverse normal transformation solutions are comparable to rank based non-parametric solutions.
Keywords
Cite
@article{arxiv.1708.00347,
title = {An Inverse Normal Transformation Solution for the comparison of two samples that contain both paired observations and independent observations},
author = {Ben Derrick and Paul White and Deirdre Toher},
journal= {arXiv preprint arXiv:1708.00347},
year = {2017}
}
Comments
Inverse Normal Transformations Partially overlapping samples