Model Perspective

Sep 6, 2023 · Fundamentals

How Box‑Cox Transformation Turns Skewed Data Into Normal Distributions

Box‑Cox transformation, introduced by Box and Cox in 1964, corrects skewed data to approximate normality by optimizing a λ parameter via maximum likelihood, enabling more accurate statistical modeling and machine‑learning predictions, as demonstrated with a crime‑rate dataset and Shapiro‑Wilk tests.