Optimal Designs for Discriminating Between some Extensions of the Michaelis-Menten Model
Jesus Lopez Fidalgo, University of Salamanca
Chiara Tommasi, University of Milano
Camelia Trandafir, University of Salamanca
Download the Paper (PDF format) - April 29, 2005
Tell a colleague about it.
Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.
ABSTRACT:
In this paper some results on the problem of computing optimal
designs for discriminating between rival models are provided.
Using T-optimality for two rival models a compound criterion is
developed to discriminate between more than two models. Surprising
results arise when T-optimal designs are compared with classical
c-optimal designs for nonlinear models. In particular, some
practical deviations of the Michaelis-Menten model are considered
in order to measure and compare efficiencies of different designs.
SUBJECT AREA:
C99
SUGGESTED CITATION:
Jesus Lopez Fidalgo, Chiara Tommasi, and Camelia Trandafir,
"Optimal Designs for Discriminating Between some Extensions of the Michaelis-Menten Model"
(April 2005).
UNIMI - Research Papers in Economics, Business, and Statistics.
Statistics and Mathematics.
Working Paper 2.
http://services.bepress.com/unimi/statistics/art2
Paper presented by Pieralda Ferrari.
| 
