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Estimation in Conditionally Heteroscedastic Time Series Models - Lecture Notes in Statistics Daniel Straumann 2005 edition
Estimation in Conditionally Heteroscedastic Time Series Models - Lecture Notes in Statistics
Daniel Straumann
Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data.
248 pages, biography
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 19. novembra 2004 |
| ISBN13 | 9783540211358 |
| Založniki | Springer-Verlag Berlin and Heidelberg Gm |
| Strani | 228 |
| Dimenzije | 155 × 235 × 13 mm · 353 g |
| Jezik | Angleščina Nemščina |