The effect of noise in the data on the Cauchy method
β Scribed by R. Adve; T. Sarkar
- Book ID
- 112146290
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 471 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A new linear regression method is applied to determine the rate constants from time-dependent profiles. The method is effective for obtaining the rate constants of such consecutive processes as vibrational relaxation. The ambiguity of ordinary nonlinear analysis is eliminated by the linearization of
The structure of noise in a dataset and, in particular, whether it is homoscedastic or heteroscedastic, can significantly affect the properties of multivariate calibration models. This is particularly true when the data are subjected to a nonlinear transformation prior to the formation of the model.