One of the methods in common use for analyzing large data sets is a two-step procedure, in which subsets of the full data are first least-squares fitted to a preliminary set of parameters, and the latter are subsequently merged to yield the final parameters. The second step of this procedure is prop
โฆ LIBER โฆ
On the Least-Squares Fitting of Correlated Data: Removing the Correlation
โ Scribed by J. Tellinghuisen
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 501 KB
- Volume
- 165
- Category
- Article
- ISSN
- 0022-2852
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