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Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217709/
http://dx.doi.org/10.1371/journal.pcbi.1003999
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spelling pubmed-42177092014-11-05 Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges PLoS Comput Biol Correction Public Library of Science 2014-11-03 /pmc/articles/PMC4217709/ http://dx.doi.org/10.1371/journal.pcbi.1003999 Text en © 2014 The PLOS Computational Biology Staff http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Correction
Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title_full Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title_fullStr Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title_full_unstemmed Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title_short Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
title_sort correction: a likelihood-based approach to identifying contaminated food products using sales data: performance and challenges
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217709/
http://dx.doi.org/10.1371/journal.pcbi.1003999
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