## Abstract A new objective function for estimating parameters in differential equations, based upon a weighted least squares criterion for the residuals of these equations, is presented. The use of Lobatto quadrature in combination with the collocation technique reduces the original problem to one
On the reliability of parameter estimates in a set of simultaneous nonlinear differential equations
โ Scribed by G. Emig; L.H. Hosten
- Publisher
- Elsevier Science
- Year
- 1974
- Tongue
- English
- Weight
- 684 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0009-2509
No coin nor oath required. For personal study only.
โฆ Synopsis
The evaluation of the different measures of statistical reliability for parameters in strongly nonlinear differential equations has been investigated. As an example the mathematical model for the description of the complex methanol oxidation has been used. It is shown that the individual confidence intervals, as well as the joint confidence hyperellipsoid, both based upon the assumption that the model behaves sufficiently linear in the vicinity of the least squares estimates, give a distorted picture about the reliability of the parameter estimates. The 'exact' joint confidence region appears to be strongly unsymmetrical. However, the construction of this region is subject to limits because of the large amount of computing effort and difficulties in analyzing and presenting results in the case that the dimension of the parameter space exceeds four.
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