Asymptotic Theory of Statistical Inference for Time Series is popular PDF and ePub book, written by Masanobu Taniguchi in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Asymptotic Theory of Statistical Inference for Time Series can be Read Online from any device for your convenience.
Asymptotic Theory of Statistical Inference for Time Series Book PDF Summary
The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA 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. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.
Detail Book of Asymptotic Theory of Statistical Inference for Time Series PDF
- Author : Masanobu Taniguchi
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461211624
- Genre : Mathematics
- Total Page : 671 pages
- Language : English
- PDF File Size : 16,9 Mb
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