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Details for article 13 of 16 found articles
| Title: |
Least square model fitting with transformation of variable |
| Author: |
Celmins, Aivars |
| Appeared in: |
Journal of statistical computation & simulation |
| Paging: | Volume 14 (1981) nr. 1 pages 17-39 |
| Year: |
1981-12 |
| Contents: |
The numerical treatment of nonlinear model fitting problems often can be simplified by manipulating the model equations. Algebraic manipulations including nonlinear transformations of model parameters, do not change the numerical result of the adjustment and can be a powerful method to improve the performance of solution algorithms. Nonlinear transformations of the observations, on the other hand, do change the numerical results unless the normal equations are transformed accordingly. The latter transformation has been neglected by previous authors and this article provides a complete set of formulas that are needed to implement transformations of observations. The transformations are in general less useful than parameter transformations for the improvement of algorithms but may have other applications in particular situations. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 13 of 16 found articles
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