Ulrike Grömping

Q: What Schools Are Affiliated With Ulrike Grömping

Ulrike Grömping is affiliated with the following schools: University of Potsdam, Technical University of Dortmund

Ulrike Grömping's AcademicInfluence.com Rankings

Ulrike Grömping

Mathematics

#7942

World Rank

#10789

Historical Rank

Statistics

#1136

World Rank

#1241

Historical Rank

mathematics Degrees

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Mathematics

Why Is Ulrike Grömping Influential?

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According to Wikipedia, 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. She is Professor for Applied Statistics and Business Mathematics at the Berliner Hochschule für Technik.

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Ulrike Grömping's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Variable Importance Assessment in Regression: Linear Regression versus Random Forest (2009) (694)
Estimators of Relative Importance in Linear Regression Based on Variance Decomposition (2007) (487)
Multilevel Modeling Using R (2014) (184)
Variable importance in regression models (2015) (181)
Optimization of BY-2 cell suspension culture medium for the production of a human antibody using a combination of fractional factorial designs and the response surface method. (2013) (55)
The Generalised Estimating Equations: A Comparison of Procedures Available in Commercial Statistical Software Packages (1998) (53)
Practical Guide to Logistic Regression (2016) (50)
R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs (2014) (45)
R Package DoE.base for Factorial Experiments (2018) (31)
Assessment of Cultivation Factors that Affect Biomass and Geraniol Production in Transgenic Tobacco Cell Suspension Cultures (2014) (30)
Inference with Linear Equality and Inequality Constraints Using R: The Package ic.infer (2010) (28)
Design and Analysis of Experiments with SAS (2010) (26)
Optimal Experimental Design with R (2019) (24)
Structured plant metabolomics for the simultaneous exploration of multiple factors (2016) (21)
A note on fitting a marginal model to mixed effects log-linear regression data via GEE. (1996) (19)
Do not adjust coefficients in Shapley value regression (2010) (15)
The Generalized Estimating Equations in the Past Ten Years: An Overview and A Biomedical Application (1996) (14)
Data Visualization: Charts, Maps, and Interactive Graphics (2021) (10)
Design for Six Sigma in product development at Ford Motor Company in a case study on robust exhaust manifold design (2006) (10)
Using R and RStudio for Data Management, Statistical Analysis and Graphics (2nd Edition) (2015) (9)
The asymptotic distribution of the partial attributable risk in cross-sectional studies (2003) (8)
Regular Fractions of Factorial Arrays (2016) (7)
Mosaic Plots are Useful for Visualizing Low-Order Projections of Factorial Designs (2014) (7)
Coding invariance in factorial linear models and a new tool for assessing combinatorial equivalence of factorial designs (2018) (7)
[Cohort study of respiratory tract diseases and lung function in school children in southwest Germany. 2. Regional influences on respiratory tract diseases in Mannheim and the Freiburg area]. (1994) (5)
Frequency tables for the coding-invariant quality assessment of factorial designs (2017) (5)
An algorithm for generating good mixed level factorial designs (2019) (5)
Creating clear designs: a graph-based algorithm and a catalog of clear compromise plans (2012) (4)
[Cohort study on respiratory diseases and lung function in schoolchildren in southwest Germany. I. study design, prevalence and incidence of respiratory diseases]. (1993) (4)
[Cohort study of respiratory diseases and lung function in school children in Southwest Germany. 4. Inner city environment influences on respiratory diseases in Mannheim]. (1995) (3)
Augmented Half Normal Effects Plots in the Presence of a Few Error Degrees of Freedom (2015) (3)
A Note on Dominating Fractional Factorial Two-Level Designs With Clear Two-Factor Interactions (2014) (3)
Two simple estimators of relative importance in linear regression based on variance decomposition. Author's reply (2007) (3)
Data Visualisation with R: 100 Examples (2017) (2)
An algorithm for blocking regular fractional factorial 2-level designs with clear two-factor interactions (2021) (2)
A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R (2018) (1)
Practical R for Mass Communication and Journalism (2019) (1)
Subject-Specific and Population-Averaged Questions for Log-Linear Regression Data (1995) (1)
A unifying implementation of stratum (aka strong) orthogonal arrays (2023) (0)
DoE.MIParray: An R Package for Algorithmic Creation of Orthogonal Arrays (2020) (0)
“Clear” and “Distinct”: two approaches for regular fractional factorial designs with estimability requirements (2010) (0)
The Sleeping Beauty Problem Demystified (2019) (0)
Fachbereich II – Mathematik-Physik-Chemie 02/2016 Ulrike Grömping Interaction Contributions as Coding Invariant Single Degree of Freedom Contributions to Generalized Word Counts Interaction Contributions als kodierungs-invariante ein- Freiheitsgrad Beiträge zu verallgemeinerten Wort-Anzahlen (2017) (0)
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web (2022) (0)

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Other Resources About Ulrike Grömping

en.wikipedia.org

What Schools Are Affiliated With Ulrike Grömping?

Ulrike Grömping is affiliated with the following schools: