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Forecasting Spring Wheat Yield Using Time Series Analysis

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Forecasting Spring Wheat Yield Using Time Series Analysis: A Case Study for the Canadian Prairies by Vijendra K. Boken. Discuss the six 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.

Reference no: EM133493192

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