Abstract:
ROBREG.SRC estimates a linear regression robustly and rapidly. ROBREG.SRC should be especially useful for models whose independent variables include both dummy and continuous- valued regressors. It is known that these models lead to computational and conceptual difficulties for "high-breakdown" robust regression based on resampling schemes. (An example is REDI.SRC in this archive, which is effective when there are no dummy variables.)
Language: RATS Keywords:regression; robust (search for similar items in EconPapers) Date: 2004-02-25
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
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