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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
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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 23, 2012 |
| ISBN13 | 9781461270287 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 662 |
| Dimensions | 155 × 235 × 34 mm · 943 g |
| Language | English |
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