Nonlinear time series
Subtitle: nonparametric and parametric methods
By: Jianqing Fan, Qiwei Yao
Contributors: Yao, Qiwei
Series: Springer series in statistics
Publisher: Springer
Published: 2003
Place of publication: New York
Language: eng
Number of pages: 551
Subjects: Time-series analysis; Nonlinear theories
Description: This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. A distinct feature of this book is that it applies many modern nonparametric estimation and testing ideas to time series modeling and model identification, while outlines many useful ideas from more traditional time series analysis. This will enable readers to use modern data-analytic techniques while keeping in touch with traditional approaches, and make the book self-contained. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.
Notes: Includes bibliographical references (p. [487]-536) and indexes