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Long-Range Dependence and Self-Similarity - Cambridge Series in Statistical and Probabilistic Mathematics Pipiras, Vladas (University of North Carolina, Chapel Hill)
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Long-Range Dependence and Self-Similarity - Cambridge Series in Statistical and Probabilistic Mathematics
Pipiras, Vladas (University of North Carolina, Chapel Hill)
Real-world time series rarely satisfy simple assumptions, often exhibiting long-range dependence. Ignoring this undermines accurate detection of trends and other important behavior. This text for graduate students and researchers in statistics and probability is also a reference for specialists in fields such as economics, finance, and hydrology.
688 pages, 8 Tables, black and white; 58 Line drawings, black and white
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 18, 2017 |
| ISBN13 | 9781107039469 |
| Publishers | Cambridge University Press |
| Pages | 688 |
| Dimensions | 262 × 187 × 46 mm · 1.42 kg |
| Language | English |
