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Basic Analysis > Oneway Analysis > Robust > Robust Fit
Publication date: 09/28/2021

Robust Fit

The Robust Fit option reduces the influence of outliers in the response variable. The Huber M-estimation method is used. Huber M-estimation finds parameter estimates that minimize the Huber loss function:

Equation shown here

where

Equation shown here

ei refers to the residuals

The Huber loss function penalizes outliers and increases as a quadratic for small errors and linearly for large errors. For more information about robust fitting, see Huber (1973) and Huber and Ronchetti (2009). See Example of the Robust Fit Option.

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