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.
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Hardcover. Etat : Good. Etat de la jaquette : No Dust Jacket. First Edition. An ex-library copy in original tan hard covers, sun-faded at the spine (not affecting lettering). The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little other cover wear. No dust jacket, apparently as issued. Book. N° de réf. du vendeur 064707
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Hardcover. Etat : Very Good. Very Good .Ships From Multiple Locations. book. N° de réf. du vendeur ERICA79103879406343
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