New method transforms data for more accurate goodness-of-fit testing.
The article compares two methods for testing if data fits a normal distribution. One method transforms the data to look like a normal distribution and uses classical tests, while the other method uses the characteristic function of the data. Both methods work for any continuous distribution, as long as the distribution's parameters can be estimated efficiently.
