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Asymptotic Theory of Statistical Inference for Time Series - Springer Series in Statistics Masanobu Taniguchi Softcover reprint of the original 1st ed. 2000 edition
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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 Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 23. oktobris |
| ISBN13 | 9781461270287 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 662 |
| Izmēri | 155 × 235 × 34 mm · 943 g |
| Valoda | Angļu |
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