Ulrike Grömping is a German statistician known for her work on regression analysis with variable importance, and for her R package relaimpo for performing linear regression with relative importance.[1] She is Professor for Applied Statistics and Business Mathematics at the Berliner Hochschule für Technik.

Education and career

Grömping studied statistics at the Technical University of Dortmund, earning a diploma there in 1991. She completed her Ph.D. in statistics there in 1996.[2] Her dissertation, Tests for a Monotone Dose-Response Relation in Models with Ordered Categorical Dose with Emphasis on Likelihood Ratio Tests for Linear Inequalities on Normal Means, was supervised by Siegfried Schach.[3]

After working as a statistician for the Ford Motor Company in Cologne from 1997 to 2004, Grömping returned to academia as a professor at the Technische Fachhochschule Berlin (now the Berliner Hochschule für Technik) in 2004.[2]

References

  1. ↑ Bi, Jian (March 2012), "A review of statistical methods for determination of relative importance of correlated predictors and identification of drivers of consumer liking", Journal of Sensory Studies, Wiley, 27 (2): 87–101, doi:10.1111/j.1745-459x.2012.00370.x
  2. 1 2 Brief curriculum vitae, Berliner Hochschule für Technik, retrieved 2021-12-20
  3. ↑ Ulrike Grömping at the Mathematics Genealogy Project
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