Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME

Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME

Mathematical simulation models are commonly applied to analyze experimental or environmental data and eventually to acquire predictive capabilities. Typically these models depend on poorly defined, unmeasurable parameters that need to be given a value. Fitting a model to data, so-called inverse mode...

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Bibliographic Details
Main Authors: Thomas Petzoldt, Karline Soetaert
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2010-02-01
Series:Journal of Statistical Software
Subjects:
simulation models
differential equations
fitting
sensitivity
Monte Carlo
identifiability
R
Online Access:http://www.jstatsoft.org/v33/i03/paper

Internet

http://www.jstatsoft.org/v33/i03/paper

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