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Time series analysis /

"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 Hamilto...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Hamilton, James D. (James Douglas), 1954-
Format: Electronic eBook
Language:Inglés
Published: Princeton, N.J. : Princeton University Press, c1994.
Subjects:
Online Access:Texto completo
Table of Contents:
  • Difference equations
  • Lag operators
  • Stationary ARMA processes
  • Forecasting
  • Maximum likelihood estimation
  • Spectral analysis
  • Asymptotic distribution theory
  • Linear regression models
  • Linear systems of simultaneous equations
  • Covariance-stationary vector processes
  • Vector autoregressions
  • Bayesian analysis
  • The Kalman filter
  • Generalized method of moments
  • Models of sonstationary time series
  • Processes with deterministic time trends
  • Univariate processes with unit roots
  • Unit roots in multivariate time series
  • Cointegration
  • Full-information maximum likelihood analysis of cointegrated systems
  • Time series models of heteroskedasticity
  • Modeling time series with changes in regime.