power transformation

**Power Transformation**

Power transformation is a mathematical technique used to stabilize variance, make data more normally distributed, and improve the validity of statistical models. Common types include the Box-Cox and Yeo-Johnson transformations, which apply a power parameter to the data to address skewness and heteroscedasticity. This method is widely used in data analysis, machine learning, and signal processing to enhance modeling performance and interpretability.