Box-Cox is a method of transforming non-normal data to fit normal data distributions. It doesn’t work well with negative ...
A Box-Cox Power Transformation allows you to transform data to match a normal distribution. It is not a guarantee of normality. It is a quick way of transforming data to better fit a control chart.
Bounds on the asymptotic relative efficiency (ARE) of the Box-Cox transformed two-sample t-test to the ordinary t-test are obtained under local alternatives. It is shown that the ARE is at least 1 for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback