A new family of power transformations to improve normality or symmetry
2000/12/01 by I.-K. Yeo, In-Kwon Yeo · 1,716 citations
Computer Science · Decision Sciences · Mathematics · Psychology · #Advanced Statistical Modeling Techniques #Behavioral and Psychological Studies #Computer science #Library science #Mathematics #Normality #Optimal Experimental Design Methods #Physics #Power (physics) #Statistics
paper · doi:10.1093/biomet/87.4.954
published in Biometrika 87(4), 954-959 (Oxford University Press)
openalex publication_date 2000/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Abstract
We introduce a new power transformation family which is well defined on the whole real line and which is appropriate for reducing skewness and to approximate normality. It has properties similar to those of the Box–Cox transformation for positive variables. The large‐sample properties of the transformation are investigated in the contect of a single random sample.
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