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Singular Spectrum Analysis for Time Series - SpringerBriefs in Statistics Nina Golyandina Second Edition 2020 edition
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Singular Spectrum Analysis for Time Series - SpringerBriefs in Statistics
Nina Golyandina
Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering which made it possible to use SSA for very complicated tasks that were unthinkable twenty years ago.
146 pages, 38 Illustrations, color; 6 Illustrations, black and white; IX, 146 p. 44 illus., 38 illus
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 24. novembris |
| ISBN13 | 9783662624357 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 146 |
| Izmēri | 150 × 220 × 10 mm · 454 g |
| Valoda | Vācu |
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