Key Points Box-Cox is a method of transforming non-normal data to fit normal data distributions. It doesn’t work well with ...

Key Points A Box-Cox Power Transformation allows you to transform data to match a normal distribution. It is not a guarantee ...

The ADXTRANS macro uses maximum likelihood theory to estimate an optimal transformation within the class of power transformations of the form When , a limit argument justifies using the transformation ...

Other Transformations . The Box-Cox transformation is a general class of transformations that includes the logarithm as a special case. The %BOXCOXAR macro can be used to find an optimal Box-Cox ...

Second, to explore how Box-Cox transformations can assist with improving the validity of model assumptions and the precision of SA prediction. This work involves extensive model-based simulations.