The Box Cox
Transformation is used to take a data set
that does not conform to a normal
distribution and apply a transform
such that the transformed data are normal.
The Box Cox transformation
is based on y^{λ }
where λ is selected to minimize the
standard
deviation of the standardized
transformed variable. The value of λ
is found by trying all reasonable values
and selecting the best.
The Box Cox transformation
can be used to calculate the process
capability of data that do
not conform to a normal distribution.
