Parameter estimation of stochastic nonlinear dynamic processes using multiple experimental data sets : with biological applications
The dynamic behavior of many chemical and biological processes is defined by a set of nonlinear differential equations that constitute a model. These models typically contain parameters that need to be estimated using experimental data. A number of factors such as sampling intervals, number of measu...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2009
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| Online Access: | http://hdl.handle.net/2429/7294 |