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  • 1
    Online Resource
    Online Resource
    London, England :Elsevier :
    UID:
    almafu_9960074778102883
    Format: 1 online resource (433 pages)
    ISBN: 9780128131183 , 0128131187
    Note: 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.
    Additional Edition: ISBN 9780128131176
    Additional Edition: ISBN 0128131179
    Language: English
    Subjects: Economics
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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