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Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance - Stochastic Modeling Series Gennady Samoradnitsky 1. izdevums
Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance - Stochastic Modeling Series
Gennady Samoradnitsky
This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
632 pages
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 1994. gada 1. jūnijs |
| ISBN13 | 9780412051715 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 654 |
| Izmēri | 164 × 245 × 45 mm · 1,07 kg |
| Valoda | Angļu |
| Sērijas redaktors | Shaked, Moshe |