Sensitivity analysis of microbial growth parameter distributions with respect to data quality and quantity by using Monte Carlo analysis

DOI10.1016/J.MATCOM.2003.12.002zbMath1041.92026OpenAlexW2043142887WikidataQ63213827 ScholiaQ63213827MaRDI QIDQ1826576

F. Poschet, A. H. Geeraerd, Kristel Bernaerts, Bart M. Nicolaï, Nico Scheerlinck, Jan F. Van Impe

Publication date: 6 August 2004

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2003.12.002

zbMATH Keywords

Monte Carlo analysisData qualityParameter uncertaintyData quantityNonlinear predictive growth model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Population dynamics (general) (92D25)

Related Items (1)

Estimation of parameters of the Makeham distribution using the least squares method

Cites Work

• Predictive food microbiology: A probabilistic approach
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