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A general formulation of data smoothing based on the least-squares method

โœ Scribed by Shikoh Itoh


Publisher
Elsevier Science
Year
1984
Weight
536 KB
Volume
224
Category
Article
ISSN
0167-5087

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On the Least-Squares Fitting of Correlat
โœ Joel Tellinghuisen ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 484 KB

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