Montag, 19. Oktober 2020, 16:45 - 17:45 iCal

ISOR Colloquium

"A design criterion for symmetric model discrimination based on flexible nominal sets"

Speaker: Werner Müller (Johannes Kepler University)

HS 7 OMP1 (#1.303, 1st floor)
Oskar-Morgenstern-Platz 1, 1090 Wien


Experimental design applications for discriminating between models have been hampered by the assumption to know beforehand which model is the true one, which is counter to the very aim of the experiment. Previous approaches to alleviate this requirement were either symmetrizations of asymmetric techniques, or Bayesian, minimax, and sequential approaches. Here we present a genuinely symmetric criterion based on a linearized distance between mean‐value surfaces and the newly introduced tool of flexible nominal sets. We demonstrate the computational efficiency of the approach using the proposed criterion and provide a Monte‐Carlo evaluation of its discrimination performance on the basis of the likelihood ratio. An application for a pair of competing models in enzyme kinetics is given.

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Institut für Statistik und Operations Research


Sabine Sobotka-Tompits, BA
Fakultät für Wirtschaftswissenschaften
Institut für Statistik und Operations Research
+43 1 4277 38631