Translating randomly fluctuating QC records into the probabilities of future mishaps
Author:
Affiliation:
1. Department of Food Science, Chenoweth Laboratories; University of Massachusetts; Amherst MA USA
2. Department of Food Science, Rutgers; The State University of New Jersey; New Brunswick NJ USA
Publisher
John Wiley & Sons, Ltd
Reference24 articles.
1. Analysis of the fluctuating pattern of E. coli counts in the rinse water of an industrial poultry plant;Corradini;Food Research International,2001a
2. Estimating the frequency of high microbial counts in commercial food products using various distribution functions;Corradini;Journal of Food Protection,2001b
3. Estimating the frequency of high microbial counts from records having a true or suspected trend or periodicity;Corradini;Journal of Food Science,2002
4. On modeling the temporal and geographical distribution of pathogens' outbursts and other industrial mishaps;Corradini;Food Engineering Reviews,2009
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