On the Removal of Skewness by Transformation

Abstract

SUMMARY We suggest empirical transformations for removing most of the skewness of an asymmetric statistic. These transformations may be used as the basis for accurate confidence procedures or hypothesis tests and can be employed in conjunction with either a normal approximation or the bootstrap. Our approach differs from those of other researchers in that the transformation is monotone and invertible.