Box-cox Transformation
Box-Cox Transformation is a parametric data transformation method that belongs to the class of power transformations and is distinguished by its use of a tunable parameter λ to stabilize variance and make the data more closely approximate a normal distribution.
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Publications
31.5K
Citations
1.3K
Authors
696
Institutions
Publications per year
2017–2026
94
Variants
Box-cox Power Transformation
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University of North Carolina at Chapel Hill
Chapel Hill, United States
8 h-index
12 publications
690 citations
University of California, Davis
Davis, United States
7 h-index
13 publications
1K citations
University of Wisconsin–Madison
Madison, United States
7 h-index
11 publications
740 citations

University of Toronto
Toronto, Canada
6 h-index
8 publications
508 citations
Université de Montréal
Montreal, Canada
6 h-index
10 publications
680 citations
Middle East Technical University
Ankara, Türkiye
5 h-index
8 publications
231 citations
National University of Singapore
Singapore, Singapore
5 h-index
5 publications
109 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
5 publications
222 citations
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32 publications · 7.4K citations
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