Multivariate Tests for Time Series Models - Michael J Hannan,Jeff B Cromwell,Walter C Labys
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Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. In addition, it covers such topics as: joint stationarity; testing for cointegration; testing for causality; and m ... Full description
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Description
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. In addition, it covers such topics as: joint stationarity; testing for cointegration; testing for causality; and model order and forecast accuracy. Related models explained include transfer function, vector autoregression and error correction models.
More Information
| Author | Michael J Hannan, Jeff B Cromwell, Walter C Labys |
|---|---|
| Publisher | Sage Publications, Inc |
| Release year | 1994 |
| Cover type | Softcover |
| EAN | 9780803954403 |