Beuth Hochschule für Technik Berlin

Prof. Dr. Ulrike Grömping
 
  • Grömping, U. (2010). Inference With Linear Equality And Inequality Constraints Using R: The Package ic.infer. Journal of Statistical Software 33, Issue 10, 1-31.
  • Grömping, U. (2008-2010). The ic.infer Package (Inequality constrained inference in linear normal situations). R package version 1.1-3. In: R Development Core Team (2010). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
  • Grömping, U. (2009-2010). The RcmdrPlugin.DoE Package (R Commander Plugin for (industrial) Design of Experiments). R package version 0.6-10. In: R Development Core Team (2009). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
  • Grömping, U. (2009-2010). The DoE.base Package (Full factorials, orthogonal arrays and base utilities for DoE packages). R package version 0.9-17. In: R Development Core Team (2009). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
  • Grömping, U. (2007-2010). The FrF2 Package (Fractional Factorial designs with 2-level factors). R package version 1.1. In: R Development Core Team (2009). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
  • Grömping, U. (2009). The DoE.wrapper Package (Wrapper package for design of experiments functionality). R package version 0.6-2. In: R Development Core Team (2009). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
  • Grömping, U. (2009). Variable Importance Assessment in Regression: Linear Regression Versus Random Forest. The American Statistician 63, 308-319.
  • Grömping, U. and Landau, S. (2009). Do not adjust coefficients in Shapley value regression. To appear in Applied Stochastic Models in Business and Industry. Online early view: DOI: 10.1002/asmb.773.
  • Hautzinger, H., Grömping,  U., Kreiß, J.-P., Mougeot, M., Pastor, C., Pfeiffer, M. and Zangmeister, T. (2008). Summary Report of Work Package 7 - Statistical Methods, Deliverable 7.5 for EU-Project TRaffic Accident Causation in Europe (Project No. 027763 – TRACE).
  • Grömping, U., Pfeiffer, M. and Stock, W. (2007). Statistical Methods for Improving the Usability of Existing Accident Databases. Deliverable 7.1 for EU-Project TRaffic Accident Causation in Europe (Project No. 027763 – TRACE).
  • Grömping, U. (2007). Response to comment by Scott Menard, re: Estimators of Relative Importance in Linear Regression Based on Variance Decomposition. In: Letters to the Editor, The American Statistician 61, 280-284.
  • Grömping, U. (2007). Estimators of Relative Importance in Linear Regression Based on Variance Decomposition. The American Statistician 61, 139-147.
  • Grömping, U. (2006). Relative Importance for Linear Regression in R: The Package relaimpo. Journal of Statistical Software 17, Issue 1.
  • Gerhorst, F., Grömping, U., Lloyd-Thomas, D., Khalaf, F. (2006): Design for Six Sigma in product development at Ford Motor Company in a case study on robust exhaust manifold design. Int. J. Product Development 3, 278-291.
  • Grömping, U., Menzler, S. and Weimann, U. (2005):  Split-Register Study: A New Method for Estimating the Impact of Rare Exposure on Population Accident Risk based on Accident Register Data. In: BASt (2005, ed.): 1st International Conference on ESAR (Expert Symposium on Accident Research). Series "Berichte der Bundesanstalt für Straßenwesen", sub series "Fahrzeugtechnik", Report F55, 95-101.
  • Grömping, U. and Weimann, U. (2004). The asymptotic distribution of the partial attributable risk in cross-sectional studies. Statistics 38, 427-438.
  • Heinrichs, R. und Grömping, U. (2004). Customer Driven Diesel Vehicle Sound Quality. Proceedings of Internoise, PRAG 2004.
  • Heinrichs, R. und Grömping, U. (2003). Hauptdimension der Dieselgeräusch-Wahrnehmung. Proceedings of DAGA, Aachen 2003.
  • Grömping, U. and Weimann, U. (2003). A Statistical Method for Customer Satisfaction Inhibitor Estimation that Permits Calculation of Confidence Intervals. Ford Technical Journal, Vol. 6, No. 1 (January 2003, FTJ-2003-0007).
  • Grömping, U. and Weimann, U. (2002, with revision in 2003). The asymptotic distribution of the partial attributable risk in cross-sectional studies. More elaborate preprint of 2004 paper. Available on the Mathematics preprint server (link works after you have logged into the Mathematics preprint server). Download from here without login.
  • Grömping, U. and Bazant, C. (2002). Case Study "Seat Belt Retraction Time". Published on the ENBIS web site http://www.enbis.org/sig/design_of_experiments/docs/seat_belt_retraction_time (case studies accessible for ENBIS members only, membership free of charge).
  • Grömping, U. (2001). One-sided Likelihood Ratio Tests for Linear Inequalities on the Parameters of Normal Linear Models. In: Kunert, J. and Trenkler, G. (eds.): Mathematical Statistics with Applications in Biometry: Festschrift in Honour of Siegfried Schach. Eul, Köln.
  • Ziegler, A. und Grömping, U. (1998). The Generalised Estimating Equations: A Comparison of Procedures Available in Commercial Statistical Software Packages. Biometrical Journal 40, 245-260.
  • Grömping, U. (1996). 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. PhD Thesis, Department of Statistics, Dortmund University, Germany.
  • Ziegler, A., Kastner, C., Grömping, U. und Blettner, M. (1996). The Generalized Estimating Equations in the Past Ten Years: An Overview and a Biomedical Application. Discussion Paper 24, Sonderforschungsbereich “Statistische Analyse diskreter Strukturen“ (SFB 386), Ludwig-Maximilians-University Munich, Germany. List of 1996 abstracts of SFB 386 discussion papers.
  • Vach, W., Grömping, U., Schulz, K. (1996). On the relation between parameter estimates from transition and marginal models for longitudinal data. Research Report  28 at Freiburger Zentrum für Datenanalyse und Modellbildung, Albert-Ludwigs-University Freiburg, Germany. gzipped Postscript-File.
  • Grömping, U. (1996). A note on fitting a marginal model to mixed effects log-linear regression data via GEE. Biometrics 52, 280-285.
  • Ziegler, A., Kastner, C., Grömping, U. und Blettner, M. (1996). The Generalized Estimating Equations: Derivation and Applications (in German). Informatik, Biometrie und Epidemiologie in Medizin und Biologie 27, 69-91.
  • Barowski, M., Weimann, B., Grömping, U. und Schach, S. (1995). SAS. A course on the SAS-modules STAT, IML und GRAPH for advanced learners (in German). Script, Department of Statistics, Dortmund University, Germany.
  • Luttmann, H., Grömping, U., Kreienbrock, L., Treiber-Klötzer, C. und Wichmann, H.E. (1995). Kohortenstudie zu Atemwegserkrankungen und Lungenfunktion bei Schulkindern in Südwestdeutschland, Teil 4: Innerstädtische Umwelteinflüsse auf Atemwegserkrankungen in Mannheim. Zentralblatt für Hygiene und Umweltmedizin 198, 172-189.
  • Grömping, U. (1995). Subject-specific and population-averaged questions for log-linear regression data. In: Seeber, G.U.H. et al. (eds.): Statistical Modelling. Proceedings of the 10th International Workshop on Statistical Modelling, Innsbruck, Austria, 10-14 July, Springer, Heidelberg.
  • Grömping, U. (1994). Simple one- and two-sided likelihood ratio tests for multivariate normal means with applications as confirmatory trend tests. Research report No. 94/5, Department of Statistics, Dortmund University, Germany.
  • Grömping, U. (1993). GEE: A SAS Macro for Longitudinal Data Analysis (Version 2.0). Technical Report (Arbeitsbericht) 31, Department of Statistics, Dortmund University, Germany.
  • Luttmann, H., Grömping, U., Treiber-Klötzer, C. Kreienbrock, L., und Wichmann, H.E. (1993). Kohortenstudie zu Atemwegserkrankungen und Lungenfunktion bei Schulkindern in Südwestdeutschland, Teil 2: Regionale Einflüsse auf Atemwegserkrankungen in Mannheim und im Raum Freiburg. Zentralblatt für Hygiene und Umweltmedizin 196, 114-138.
  • Luttmann, H., Grömping, U., Kreienbrock, L., Treiber-Klötzer, C. und Wichmann, H.E. (1993). Kohortenstudie zu Atemwegserkrankungen und Lungenfunktion bei Schulkindern in Südwestdeutschland, Teil 1: Studiendesign, Prävalenz und Inzidenz von Atemwegserkrankungen. Zentralblatt für Hygiene und Umweltmedizin 194, 525-539.
  • Luttmann, H., Grömping, U., Wichmann, H.E., Kreienbrock, L. und Treiber-Klötzer, C. (1992). Auswirkungen der Luftverunreinigung auf die Gesundheit von Schulkindern. In: Van Eimeren, W., Überla, K., Ulm, K. (Hrsg.). Gesundheit und Umwelt. Medizinische Informatik, Biometrie und Epidemiologie 75, Springer, Berlin, 131-146.
  • Grömping, U. (1990). The EM Algorithm for Maximum-Likelihood-estimation in mixed linear models (in German). Diploma thesis, Department of Statistics, Dortmund University, Germany.
  • Grömping, U., Hennig, M., Kübler, J. und Schach, S. (1990). Introction to the Statistical Analysis System (in German). Script, Department of Statistics, Dortmund University, Germany.
Stand: 27.02.10Seite ausdrucken Zum Seitenanfang