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Validating and comparing predictive models


Baranyi, J and Pin, C and Ross, T, Validating and comparing predictive models, International Journal of Food Microbiology, 48, (3) pp. 159-166. ISSN 0168-1605 (1999) [Refereed Article]

DOI: doi:10.1016/S0168-1605(99)00035-5


The bias and accuracy factors introduced by Ross [Ross, T., 1996. Indices for performance evaluation of predictive models in food microbiology. J. Appl Bacteriol. 81, 501-508] for the evaluation of the performance of models in 'predictive food microbiology' are refined by basing the calculation of those measures on the mean square differences between predictions and observations. The use of the indices is extended by presenting formulae and methods which enable evaluation of the difference between alternative models for growth of an organism of interest over a domain of environmental factors. This is done by calculating the integral mean of the square differences between the models under investigation over the domain of the environmental variables common to those models, or a sub- region of it. The use of the techniques is exemplified by evaluating the difference between four published models for the growth rate of psychrotrophic pseudomonads.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbial ecology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Ross, T (Professor Tom Ross)
ID Code:17558
Year Published:1999
Web of Science® Times Cited:243
Deposited By:Agricultural Science
Deposited On:1999-08-01
Last Modified:2011-10-10

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