Robust Regression: Analysis and Applications characterizes robust
estimators in terms of how much they weigh. Each observation
discusses generalized properties of LP-estimators. It includes an
algorithm for identifying outliers using least absolute value
criterion, in regression modelling reviews re-descending
M-estimators studies Li linear regres
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