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Robust Regression: Analysis and Applications

Lawrence (author)

Hardback Published on: 11/12/1989

£265

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Synopsis

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