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: Advanced coverage of forecasting and time-series processes.

These chapters explain how to transform non-stationary data into stationary data to build reliable short-term forecasting models. 4. Single-Equation vs. Multi-Equation Models : Advanced coverage of forecasting and time-series processes

: Advanced coverage of ARIMA models, smoothing, and stochastic time-series properties. and model specification.

: Mastering Ordinary Least Squares (OLS), hypothesis testing, and model specification. : Advanced coverage of forecasting and time-series processes