Monte Carlo Simulations for the Analysis of Non-linear Parameter Confidence Intervals in Optimal Experimental Design

Especially in biomanufacturing, methods to design optimal experiments are a valuable technique to fully exploit the potential of the emerging technical possibilities that are driving experimental miniaturization and parallelization. The general objective is to reduce the experimental effort while ma...

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Detalles Bibliográficos
Autores principales: Krausch, Niels, Barz, Tilman, Sawatzki, Annina, Gruber, Mathis, Kamel, Sarah, Neubauer, Peter, Cruz Bournazou, Mariano Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543167/
https://www.ncbi.nlm.nih.gov/pubmed/31179278
http://dx.doi.org/10.3389/fbioe.2019.00122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543167/
https://www.ncbi.nlm.nih.gov/pubmed/31179278
http://dx.doi.org/10.3389/fbioe.2019.00122

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