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Effects of parameterization on the performance of empirical models used in 'predictive microbiology'

journal contribution
posted on 2023-05-16, 10:04 authored by Baranyi, J, Thomas RossThomas Ross, Thomas McMeekinThomas McMeekin, Roberts, TA
Empirical models fitted to measured data should be used only in the region within which measurements were made, the so-called interpolation region. In cases in which many variables are involved, the determination of the interpolation region is not self-evident and the region is sometimes unexpectedly small. A definition of the interpolation region is presented, to enable some consequences of the use of models with high numbers of parameters to be exemplified. In particular, unreliability close to the boundary of the interpolation region is highlighted by comparison of the predictions of models with different numbers of parameters.

History

Publication title

Food Microbiology

Volume

13

Pagination

83-91

ISSN

0740-0020

Department/School

Tasmanian Institute of Agriculture (TIA)

Publisher

Academic Press Ltd Elsevier Science Ltd

Place of publication

USA

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the environmental sciences

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