Data, Inference, and Decisions
A prediction interval is a statistical range that provides an estimate of where future observations are expected to fall, based on a given model and its parameters. This interval accounts for both the uncertainty in the estimated mean and the variability of the data, offering a more comprehensive view than just a point estimate. It is particularly useful in forecasting, as it helps to quantify the potential range of outcomes that can be expected from a model.
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