4.4. Robust Regression
The linear EIV regression model (Section 4.2.6) is employed for the discussion of the different regression techniques. In this model, the inliers are measured as
Equation 4.105
and their true values obey the constraints
Equation 4.106
The number of inliers must be much larger than the number of free parameters of the model, n1 » p. Nothing is assumed about the n — n1 outliers.
After a robust method selects the inliers, they are often postprocessed with a nonrobust technique from the least squares (LS) family to obtain the ...
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