On the Removal of Skewness by Transformation
提出经验变换方法以消除非对称统计量的偏度，可用于构建精确置信区间或假设检验，且变换单调可逆。
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.