What is the primary reason for applying a Yeo-Johnson transformation instead of a Box-Cox transformation?

Data Science Hard

Data Science — Hard

What is the primary reason for applying a Yeo-Johnson transformation instead of a Box-Cox transformation?

Key points

  • Box-Cox is restricted to positive values.
  • Yeo-Johnson extends power transformations to negative values.
  • Both methods improve normality and variance stability.

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