 The power transformation is a family of transformations parameterized by a non-negative value λ that includes the logarithm, square root, and multiplicative inverse as special cases.To approach data transformation systematically, it is possible to use statistical estimation techniques to estimate the parameter λ in the power transformation, thereby identifying the transformation that is approximately the most appropriate in a given setting.Since the power transformation family also includes the identity transformation, this approach can also indicate whether it would be best to analyze the data without a transformation.