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Better World Books, Mishawaka, IN, U.S.A.
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Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # 9584505-6
Which time series test should a researcher chose to best describe the interactions among a set of time series variables? Aimed at providing social scientists with practical guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. Other topics it covers are joint stationarity, testing for cointegration, testing for Granger causality, and testing for model order, and forecast accuracy. Related models explained include transfer function, vector autoregression, error correction models, and others. Readers with a working knowledge of time series regression will find this helpful book accessible.
About the Authors:
Dr. Jeff B. Cromwell is a graduate of West Virginia University with research interests in computational statistics, econometrics and time series analysis.
Title: Multivariate Tests for Time Series Models
Publisher: SAGE Publications, Incorporated
Publication Date: 1994
Binding: Soft cover
Condition: Very Good
Edition: 1st Edition.
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: Good. 1st Edition. Ships from the UK. Used book that is in clean, average condition without any missing pages. Seller Inventory # 5481600-6
Quantity: 1 available