Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A design criterion for symmetric model discrimination based on nominal
  confidence sets   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 confidence 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.

13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg