Discuss the six time series models used to forecast spring

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Reference no: EM133483259

Problem: Boken, V.K., 2000. Forecasting spring wheat yield using time series analysis: a case study for the Canadian Prairies, Agronomy Journal,92(6):1047-1053. Discuss the six time series models (linear trend, quadratic trend, simple exponential smoothing, double exponential smoothing, simple moving averaging, and double moving averaging) used to forecast spring wheat yield in Canada and evaluate the forecasting performance of these models and the best model for forecasting.

Reference no: EM133483259

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