Time Series: Modeling, Computation, and Inference, 2nd Edition

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  • By: Prado, Raquel; Ferreira, Marco A. R.; West, Mike
  • 2nd Edition | 2021 | Hardcover
  • ISBN is 9781498747028 / 1498747027
  • Publisher: CRC Press

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Time Series: Modeling, Computation, and Inference, 2nd Edition provides the student a detailed overview of time series concepts, including stochastic processes and stationarity, autocorrelation and cross-correlation, smoothing and differencing, traditional time domain models, structure of autoregressions, forecasting, autoregressive moving average models (ARMA), and the frequency domain, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master time series concepts & build real-world working capability. Time Series: Modeling, Computation, and Inference, 2nd Edition goes into harmonic regression, the periodogram, the F distribution, dynamic linear models, state-space TVAR models, SMC methods for state-space models, and vector AR and ARMA models. A chapter is broken down into mixture models in time series. Buy the textbook Time Series: Modeling, Computation, and Inference, 2nd Edition and be confident in your time series education and career.

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