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2.2 Why does combining forecasts work so well?

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One intuitive explanation as to why combining improves accuracy is that it enables forecasters to use more information, and to do so in an objective manner. Moreover, bias exists both in the selection of data and in the forecasting methods that are used. Often the bias is unique to the data and the method, so that when various methods using different data are combined to make a forecast, the biases tend to cancel out in the aggregate.

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