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Time series analysis / James D. Hamilton.

By: Hamilton, James D. (James Douglas), 1954-Material type: TextTextLanguage: English Publication details: Princeton, N.J. : Princeton University Press, c1994. Description: xiv, 799 p. : ill. ; 26 cmISBN: 0691042896 (acidfree paper); 9780691042893Subject(s): Time-series analysis | Statistical analysisDDC classification: 519.55 LOC classification: QA280 | .H264 1994Online resources: WorldCat details | E-book Fulltext
Contents:
TOC 1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7. Asymptotic Distribution Theory -- 8. Linear Regression Models -- 9. Linear Systems of Simultaneous Equations -- 10. Covariance-Stationary Vector Processes -- 11. Vector Autoregressions -- 12. Bayesian Analysis -- 13. The Kalman Filter -- 14. Generalized Method of Moments -- 15. Models of Nonstationary Time Series -- 16. Processes with Deterministic Time Trends -- 17. Univariate Processes with Unit Roots -- 18. Unit Roots in Multivariate Time Series -- 19. Cointegration -- 20. Full-Information Maximum Likelihood Analysis of Cointegrated Systems -- 21. Time Series Models of Heteroskedasticity -- 22. Modeling Time Series with Changes in Regime -- D Greek Letters and Mathematical Symbols Used in the Text.
Summary: "The last decade has brought dramatic changes in the way that researchers analyze time series data. This much-needed book synthesizes all of the major recent advances and develops a single, coherent presentation of the current state of the art of this increasingly important field. James Hamilton provides for the first time a thorough and detailed textbook account of important innovations such as vector Read more...
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