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Prediction Interval

Definition

A prediction interval is a range constructed under a statistical model for a defined future or unobserved outcome. Its target differs from an interval for a model parameter, and its interpretation depends on the model, assumptions and demonstrated coverage.

Context
Statistical prediction

For example, predicting an individual developmental outcome involves a different target from estimating a mean parameter from the same reference experiment.

A broad collection of assumed scenarios is not automatically a calibrated prediction interval.

Related terms

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