Often data values are transformed to make them more like a standard distribution. This process is called pre-whetning, especially for temporal data when the goal is to transform the data to be more like white noise. Other examples are transforming data to make it more like a Normal distribution of log transforms of timing data.
Used on Chap. 7: page 135; Chap. 10: page 207
Also known as pre-whiten