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On the use of in-silico simulations to support experimental design: A case study in microbial inactivation of foods
The mathematical models used in predictive microbiology contain parameters that must be estimated based on experimental data. Due to experimental uncertainty and variability, they cannot be known exactly and must be reported with a measure of uncertainty (usually a standard deviation). In order to i...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6711534/ https://ncbi.nlm.nih.gov/pubmed/31454353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0220683 |
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