Monte Carlo Simulations for the Analysis of Non-linear Parameter Confidence Intervals in Optimal Experimental Design
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Monte Carlo Simulations for the Analysis of Non-linear Parameter Confidence Intervals in Optimal Experimental Design
Authors
Keywords
-
Journal
Frontiers in Bioengineering and Biotechnology
Volume 7, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-05-24
DOI
10.3389/fbioe.2019.00122
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Microbioreactor Systems for Accelerated Bioprocess Development
- (2018) Johannes Hemmerich et al. Biotechnology Journal
- Substrate Spectra of Nucleoside Phosphorylases and their Potential in the Production of Pharmaceutically Active Compounds
- (2018) Heba Yehia et al. CURRENT PHARMACEUTICAL DESIGN
- Microbioreactor Systems for Accelerated Bioprocess Development
- (2018) Johannes Hemmerich et al. Biotechnology Journal
- The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design
- (2018) René Schenkendorf et al. Processes
- Chemo-enzymatic synthesis of α-d-pentofuranose-1-phosphates using thermostable pyrimidine nucleoside phosphorylases
- (2018) Sarah Kamel et al. Molecular Catalysis
- Sequential Model-Based A-Optimal Design of Experiments When the Fisher Information Matrix Is Noninvertible
- (2018) Ali Shahmohammadi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities
- (2016) M.N. Cruz Bournazou et al. BIOTECHNOLOGY AND BIOENGINEERING
- Online bioprocess data generation, analysis, and optimization for parallel fed-batch fermentations in milliliter scale
- (2016) David Benjamin Nickel et al. ENGINEERING IN LIFE SCIENCES
- Design of experiments-based high-throughput strategy for development and optimization of efficient cell disruption protocols
- (2016) Florian Glauche et al. ENGINEERING IN LIFE SCIENCES
- Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design
- (2015) Diana C. López C. et al. COMPUTERS & CHEMICAL ENGINEERING
- SECOND-ORDER SENSITIVITY ANALYSIS OF PARAMETER ESTIMATION PROBLEMS
- (2015) Ekaterina Kostina et al. International Journal for Uncertainty Quantification
- Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production
- (2013) Diana C. López C. et al. BIOTECHNOLOGY PROGRESS
- Consistent development of bioprocesses from microliter cultures to the industrial scale
- (2013) Peter Neubauer et al. ENGINEERING IN LIFE SCIENCES
- Likelihood based observability analysis and confidence intervals for predictions of dynamic models
- (2012) Clemens Kreutz et al. BMC Systems Biology
- Advances and selected recent developments in state and parameter estimation
- (2012) Costas Kravaris et al. COMPUTERS & CHEMICAL ENGINEERING
- Comparative investigations on thermostable pyrimidine nucleoside phosphorylases from Geobacillus thermoglucosidasius and Thermus thermophilus
- (2012) Kathleen Szeker et al. JOURNAL OF MOLECULAR CATALYSIS B-ENZYMATIC
- Process systems engineering: From Solvay to modern bio- and nanotechnology.
- (2011) George Stephanopoulos et al. CHEMICAL ENGINEERING SCIENCE
- Identification of a rice drying model with an improved sequential optimal design of experiments
- (2011) Daniel Goujot et al. JOURNAL OF PROCESS CONTROL
- An optimal experimental design approach to model discrimination in dynamic biochemical systems
- (2010) Dominik Skanda et al. BIOINFORMATICS
- Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood
- (2009) A. Raue et al. BIOINFORMATICS
- Optimal experimental design with the sigma point method
- (2009) R. Schenkendorf et al. IET Systems Biology
- Uncertainty analysis in WWTP model applications: A critical discussion using an example from design
- (2009) Gürkan Sin et al. WATER RESEARCH
- Model-based design of experiments for parameter precision: State of the art
- (2007) Gaia Franceschini et al. CHEMICAL ENGINEERING SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started