Power transformation

A power transformation replaces positive data by a member of a parameterized family of powers, commonly to improve the fit of a normal linear model.

For $y>0$, the Box–Cox transformation isThe value of $\lambda$ can be selected by maximizing its profile likelihood; $\lambda =1$ corresponds to an affine transformation of the original response, while $\lambda =0$ gives a logarithmic transformation.