Use Box-Cox Transformation For Calculating Process Capability with Non-Normal Data Calculating the process capability using non-normal data can give inaccurate results.

Data transformation, and particularly the Box-Cox power transformation, is one of these remedial actions that may help to make data normal. By understanding both the concept of transformation and ...

Stuart R. Lipsitz, Joseph Ibrahim, Geert Molenberghs, Using a Box-Cox Transformation in the Analysis of Longitudinal Data with Incomplete Responses, Journal of the Royal Statistical Society.

To estimate an optimal Box-Cox power transformation using the defaults for the number of intervals and the ends of the range, use the following statements: %adxgen %adxtrans (result,tresult,burst,T1 ...

Following Box and Cox (1964), the use of transformations in regression analysis is now common; recently there has been emphasis on diagnostic methods for transformation, much of which has involved ...

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 transformation for a time ...

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.