Computer Science
3 years ago

Coordinate transformations make non-normal distributions more bivariate normal, study finds.

Technometrics
The Performance of Some Rough Tests for Bivariate Normality before and after Coordinate Transformations to Normality
Charles J. Kowalski

Paper Summary

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The article explores how transforming variables to a normal distribution can make them more bivariate normal. By using simple tests, the researchers found that these transformations can make non-normal distributions closer to the normal model. This can help estimate the transformations needed and has implications for correlation theory.