Nonhomogeneous Gaussian regression

Non-homogeneous Gaussian regression (NGR) is a type of statistical regression analysis used in the atmospheric sciences as a way to convert ensemble forecasts into probabilistic forecasts. Relative to simple linear regression, NGR uses the ensemble spread as an additional predictor, which is used to improve the prediction of uncertainty and allows the predicted uncertainty to vary from case to case.

Source: Wikipedia — Nonhomogeneous Gaussian regression (CC BY-SA 4.0)

Nonhomogeneous Gaussian regression

Non-homogeneous Gaussian regression (NGR) is a type of statistical regression analysis used in the atmospheric sciences as a way to convert ensemble forecasts into probabilistic forecasts. Relative to simple linear regression, NGR uses the ensemble spread as an additional predictor, which is used to improve the prediction of uncertainty and allows the predicted uncertainty to vary from case to case.

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Source: Wikipedia "Nonhomogeneous Gaussian regression" · CC BY-SA 4.0

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