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Item Details
Title: ELEMENTS OF MULTIVARIATE TIME SERIES ANALYSIS
By: Gregory C. Reinsel
Format: Hardback

List price: £61.50


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ISBN 10: 0387949186
ISBN 13: 9780387949185
Publisher: SPRINGER-VERLAG NEW YORK INC.
Edition: 2nd Revised edition
Series: Springer Series in Statistics
Pages: 375
Description: An introduction to the basic concepts and methods that are useful in the analysis and modelling of multivariate time series data. It concentrates on the time-domain analysis of multivariate time series, and assumes a background in univariate time series analysis.
Synopsis: Elements of Multivariate Time Series Analysis, Second Edition introduces the basic concepts and methods that are useful in the analysis and modeling of multivariate time series data that may arise in business and economics, engineering, geophysical sciences, and other fields. The book concentrates on the time-domain analysis of multivariate time series, and assumes a background in univariate time series analysis. It covers basic topics such as stationary processes and their covariance matrix structure, vector AR, MA, and ARMA models, forecasting, least squares and maximum likelihood estimation for ARMA models, associated likelihood ratio testing procedures, and other model specification methods useful for model building and model checking. In this revised edition, additional topics have been added and parts of the first edition have been expanded. The most notable addition is a new chapter that discusses topics that arise when exogenous variables are involved in model structures, generally through consideration of the ARMAX models. The book also includes exercise sets and multivariate time series data sets.In addition to serving as a textbook, this book will also be useful to researchers and graduate students in the areas of statistics, econometrics, business, and engineering.
Illustrations: 14 illus.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Non-returnable
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