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Asymptotic Theory of Statistical Inference for Time Series

About Asymptotic Theory of Statistical Inference for Time Series

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.

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  • Language:
  • English
  • ISBN:
  • 9780387950396
  • Binding:
  • Hardback
  • Pages:
  • 662
  • Published:
  • August 10, 2000
  • Edition:
  • 2000
  • Dimensions:
  • 169x238x42 mm.
  • Weight:
  • 1106 g.
Delivery: 2-3 weeks
Expected delivery: January 11, 2025
Extended return policy to January 30, 2025
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Description of Asymptotic Theory of Statistical Inference for Time Series

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.

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