by WalterC.Labys (Editor), JeffB.Cromwell (Editor), Michael J . Hannan (Editor), Michel Terraza (Editor)
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.
Format: Paperback
Pages: 104
Edition: illustrated edition
Publisher: Sage Publications, Inc
Published: 16 Aug 1994
ISBN 10: 0803954409
ISBN 13: 9780803954403