Includes bibliographical references (pages 315-327) and index
Contents:
Time series and their features -- Transforming time series -- ARMA models for stationary time series -- ARIMA models for nonstationary time series -- Unit roots, difference and trend stationarity, and fractional differencing -- Breaking and nonlinear trends -- An introduction to forecasting with univariate models -- Unobserved component models, signal extraction, and filters -- Seasonality and exponential smoothing -- Volatility and generalized autoregressive conditional heteroskedastic processes -- Nonlinear stochastic processes -- Transfer functions and autoregressive distributed lag modeling -- Vector autoregressions and Granger causality -- Error corection, spurious regressions, and cointegration -- Vector autoregressions with integrated variables, vector error correction models, and common trends -- Compositional and count time series -- State space models.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.