ARMA Model Identification (Springer Series in Statistics) - Softcover

Choi, ByoungSeon

Softcover

ISBN 10: 1461397472 ISBN 13: 9781461397472

Publisher: Springer, 2012

Synopsis

During the last two decades, considerable progress has been made in statistical time series analysis. The aim of this book is to present a survey of one of the most active areas in this field: the identification of autoregressive moving-average models, i.e., determining their orders. Readers are assumed to have already taken one course on time series analysis as might be offered in a graduate course, but otherwise this account is self-contained. The main topics covered include: Box-Jenkins' method, inverse autocorrelation functions, penalty function identification such as AIC, BIC techniques and Hannan and Quinn's method, instrumental regression, and a range of pattern identification methods. Rather than cover all the methods in detail, the emphasis is on exploring the fundamental ideas underlying them. Extensive references are given to the research literature and as a result, all those engaged in research in this subject will find this an invaluable aid to their work.

Edition details

• Publisher: Springer
• Publication date: 2012
• Language: English
• ISBN 10: 1461397472
• ISBN 13: 9781461397472
• Binding: Paperback
• Number of pages: 212