| Autor: |
Kremer, F., Lagaly, G., Jaenicke, R., Durchschlag, H., Dimitriadis, E. K., Lewis, M. S. |
| Zdroj: |
Analytical Ultracentrifugation IV; 1997, p20-26, 7p |
| Abstrakt: |
In equilibrium or velocity sedimentation experiments with the XL-A analytical ultracentrifuge it is customary to acquire absorbance data. The least-squares method is most widely used for fitting non-linear models to such collected data. It is here shown that due to the non-Gaussian characteristics of the noise in the absorbance data, the least-squares method is not optimal and introduces a systematic bias to the estimated parameters. This bias can be eliminated by either using the maximum-likelihood method on the absorbance data or otherwise by fitting the intensity data directly. The probability distribution of the noise in the latter is Gaussian and the least-squares estimation is equivalent to maximum likelihood. The methodology for using the intensity data is developed and simulations for a variety of systems are performed. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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