Dr. Kirsten Schorning

Topicbild

Ruhr-Universität Bochum
Fakultät für Mathematik
Lehrstuhl für Stochastik
Wasserstrasse 223, Raum 1.25
44780 Bochum
Deutschland

Tel.: +49 (0)234 / 32 23281
Fax: +49 (0)234 / 32 14559

E-Mail: kirsten.schorning(at)rub.de



Sprechstunde:

nach Vereinbarung

Arbeitsgebiete:

Versuchsplanung

Publikationen:

Veröffentlicht:

Schorning, K., Dette, H., Kettelhake, K. and Möller, T. (2018+). Optimal designs for non-competitive enzyme inhibition kinetic models. Erscheint in Statistics .

Dette, H., Kettelhake, K. Schorning, K., Wong, W.K. and Bretz, F. (2017): Optimal designs for active controlled dose-finding trials with efficacy-toxicity outcomes. Biometrika 104(4), 1003-1010.

Dette, H., Schorning, K. and Konstantinou, M. (2017): Optimal designs for comparing regression models with correlated observations. Computational Statistics and Data Analysis 113, 273-286.

Feller, C., Schorning, K., Dette, H., Bermann, G., Bornkamp, B. (2017): Optimal designs for dose response curves with common parameters. Annals of Statistics 45(5), 2102-2132.

Dette, H., Hoyden, L., Kuhnt, S. and Schorning, K. (2017): Optimal designs for thermal spraying. Journal of the Royal Statistical Society, Ser. C, 66(1), 53-72.

Schorning, S., Bornkamp, B., Bretz, F. and Dette, H. (2016): Model selection versus model averaging in dose finding studies. Statistics in Medicine 35, 4021-4040.

Dette, H. und Schorning, K. (2016): Optimal designs for comparing curves. Annals of Statistics 44(3), 1103-1130.

Dette, H. und Schorning, K. (2013): Complete classes of designs for nonlinear regression models and principal representations of moment spaces, Annals of Statistics 41(3), 1260-1267.

Eingereicht:

Alhorn, K., Schorning, K. and Dette, H. (2018) Optimal designs for frequentist model averaging. (PDF)

Schorning, K. and Konstantinou, M. (2017). Bayesian optimal designs for dose-response curves with common parameters. (PDF)

Dette, H., Konstantinou, M., Schorning, K. and Gösmann, J. (2017). Optimal designs for regression with spherical data. (PDF)