Time Series with Long Memory

By Peter M. Robinson

Book Overview

Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical applications. The methods constitute a very flexible approach to analyzing time series data arising in economics, finance and other fields.

About the Series
Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

• Format: Paperback
• Language: English
• ISBN: 0199257302
• ISBN13: 9780199257300
• Release Date: August 2003
• Publisher: Oxford University Press, USA
• Length: 392 Pages
• Weight: 1.22 lbs.
• Dimensions: 0.8" x 6.2" x 9.1"