Title of article
A unifiedmodelfordetectingefficientandinefficientoutliersindata envelopment analysis
Author/Authors
Wen-Chih Chen، نويسنده , , AndrewL.Johnsonb، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2010
Pages
9
From page
417
To page
425
Abstract
Data envelopmentanalysis(DEA)usesextremeobservationstoidentifysuperiorperformance,makingit
vulnerable tooutliers.Thispaperdevelopsaunifiedmodeltoidentifybothefficientandinefficientoutliers
in DEA.Findingbothtypesisimportantsincemanypostanalyses,aftermeasuringefficiency,dependon
the entiredistributionofefficiencyestimates.Thus,outliersthataredistinguishedbypoorperformance
can significantlyaltertheresults.Besidesallowingtheidentificationofoutliers,themethoddescribedis
consistent witharelaxedsetofDEAaxioms.Severalexamplesdemonstratetheneedforidentifyingboth
efficient andinefficientoutliersandtheeffectivenessoftheproposedmethod.Applicationsofthemodel
reveal thatobservationswithlowefficiencyestimatesarenotnecessarilyoutliers.Inaddition,astrategy
to acceleratethecomputationisproposedthatcanapplytoinfluentialobservationdetection.
Keywords
Data envelopment analysis , Post analysis , outlier
Journal title
Computers and Operations Research
Serial Year
2010
Journal title
Computers and Operations Research
Record number
927657
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