Models for Dependent Time Series
Granville Tunnicliffe Wilson, Lancaster University;
Marco Reale, University of Canterbury;
John Haywood, Victoria University
Chapman & Hall/CRC, 2015
ISBN: 978-1-58488-650-1;
Language: English
Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vector) time series data.
A supplementary website provides MATLAB functions for analyzing examples and producing illustrations.
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