Monte Carlo-Based Error Propagation for a More Reliable Regression Analysis across Specific Rates in Bioprocesses

During process development, bioprocess data need to be converted into applicable knowledge. Therefore, it is crucial to evaluate the obtained data under the usage of transparent and reliable data reduction and correlation techniques. Within this contribution, we show a generic Monte Carlo error prop...

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Detalles Bibliográficos
Autores principales: Kager, Julian, Herwig, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614739/
https://www.ncbi.nlm.nih.gov/pubmed/34821726
http://dx.doi.org/10.3390/bioengineering8110160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614739/
https://www.ncbi.nlm.nih.gov/pubmed/34821726
http://dx.doi.org/10.3390/bioengineering8110160

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