Springer Series in Statistics

1 total work

Asymptotic Theory of Statistical Inference for Time Series

by Masanobu Taniguchi and Yoshihide Kakizawa

Published 11 August 2000

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.