Introduction to Multiple Time Series Analysis.

Lütkepohl, Helmut:

ISBN 10: 3540569405 / ISBN 13: 9783540569404

Published by Springer Verlag, Berlin, 1993

About this Item

XXI, 545 Pages with 34 Figures, 3540569405 Sprache: Englisch Gewicht in Gramm: 900 Groß 8°, Original-Karton (Softcover), sehr gutes und innen sauberes Exemplar,

Seller Inventory # 80172

Bibliographic Details

• Title: Introduction to Multiple Time Series Analysis.
• Publisher: Springer Verlag, Berlin
• Publication Date: 1993
• Language: English
• ISBN 10: 3540569405
• ISBN 13: 9783540569404
• Binding: Soft cover
• Edition: Second Edition,.
• Seller catalogs:
  • Mathematik

About this title

Synopsis

This graduate level textbook deals with analyzing and forecasting multiple time series. It considers a wide range of multiple time series models and methods. The models include vector autoregressive, vector autoregressive moving average, cointegrated, and periodic processes as well as state space and dynamic simultaneous equations models. Least squares, maximum likelihood, and Bayesian methods are considered for estimating these models. Different procedures for model selection or specification are treated and a range of tests and criteria for evaluating the adequacy of a chosen model are introduced. The choice of point and interval forecasts is considered and impulse response analysis, dynamic multipliers as well as innovation accounting are presented as tools for structural analysis within the multiple time series context. This book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on this book. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their task. It enables the reader to perform his or her analyses in a gap to the difficult technical literature on the topic.