A Note on Curve Fitting with Minimum Deviations by Linear Programming
Journal of the American Statistical AssociationPublished 1 June 1961
Walter D. Fisher
Citations11
SJR quartileQ1
SJR score4.10
SNIP3.08
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Abstract
For some time it has been well known among specialists in mathematical programming that the statistical problem of fitting a linear multiple regression with the criterion of minimizing the sum of absolute deviations from the regression function (rather than squared deviations) may be reduced to a linear programming problem. But this knowledge seems not widespread among general statisticians.1 This note briefly reviews the formulation of this application of linear programming, and its history.
Keywords
Computer ScienceEngineering