Small sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity: A reply to Banker, Chang, and Cooper

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dc.contributor.authorAntonio N. Bojanic
dc.contributor.authorSteven B. Caudill
dc.contributor.authorJon M. Ford
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:43:26Z
dc.date.available2026-03-22T16:43:26Z
dc.date.issued2002
dc.descriptionCitaciones: 1
dc.identifier.doi10.1016/s0377-2217(01)00025-x
dc.identifier.urihttps://doi.org/10.1016/s0377-2217(01)00025-x
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/59927
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofEuropean Journal of Operational Research
dc.sourceUniversidad Nuestra Señora de La Paz
dc.subjectData envelopment analysis
dc.subjectHeteroscedasticity
dc.subjectArtificial neural network
dc.subjectEstimator
dc.subjectFeature vector
dc.subjectRadial basis function
dc.subjectRadial basis function network
dc.subjectArtificial intelligence
dc.subjectProbabilistic logic
dc.subjectSeparable space
dc.titleSmall sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity: A reply to Banker, Chang, and Cooper
dc.typearticle

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