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Asymptotic Theory of Statistical Inference for Time Series - Springer Series in Statistics Masanobu Taniguchi 2000 edition
Asymptotic Theory of Statistical Inference for Time Series - Springer Series in Statistics
Masanobu Taniguchi
The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described.
662 pages, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2000. gada 11. augusts |
| ISBN13 | 9780387950396 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 662 |
| Izmēri | 169 × 238 × 42 mm · 1,07 kg |
| Valoda | Angļu |