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

Citation

Baranyi, J and Ross, T and McMeekin, TA and Roberts, TA, Effects of parameterization on the performance of empirical models used in 'predictive microbiology', Food Microbiology, 13, (1) pp. 83-91. ISSN 0740-0020 (1996) [Refereed Article]

DOI: doi:10.1006/fmic.1996.0011

Abstract

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.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Bacteriology
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Environmental Sciences
Author:Ross, T (Associate Professor Tom Ross)
Author:McMeekin, TA (Professor Thomas McMeekin)
ID Code:7044
Year Published:1996
Web of Science® Times Cited:83
Deposited By:Agricultural Science
Deposited On:1996-08-01
Last Modified:2011-08-16
Downloads:0

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