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Functional Data Analysis - Springer Series in Statistics James Ramsay Softcover reprint of hardcover 2nd ed. 2005 edition
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Functional Data Analysis - Springer Series in Statistics
James Ramsay
Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis.
428 pages, 151 black & white illustrations, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 10, 2010 |
| ISBN13 | 9781441923004 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 429 |
| Dimensions | 155 × 235 × 23 mm · 621 g |
| Language | English |
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