Prediction interval

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In statistics (particularly in predictive inference), a prediction interval, or PI for short,[1] is an interval estimate in which future observations will fall, with a certain probability, given what has already been observed. Prediction intervals are often used in regression analysis and forecasting.[2][3]

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References[change | change source]

  1. "List of Probability and Statistics Symbols". Math Vault. 2020-04-26. Retrieved 2020-10-14.
  2. 3.5 Prediction intervals | Forecasting: Principles and Practice.
  3. "3.3 - Prediction Interval for a New Response | STAT 501". PennState: Statistics Online Courses. Retrieved 2020-10-14.