New test outperforms traditional methods for heavy-tailed distributions.
A new goodness-of-fit test was compared to the Chi squared and Kolmogorov-Smirnov tests for normality. The new test outperformed the others when the parent distribution had heavy tails. However, if the hypothesized distribution differed in location only, the new test did not perform as well.
