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

Antonio N. BojanicSteven B. CaudillJon M. Ford2026-03-222026-03-22200210.1016/s0377-2217(01)00025-xhttps://doi.org/10.1016/s0377-2217(01)00025-xhttps://andeanlibrary.org/handle/123456789/59927Citaciones: 1enData envelopment analysisHeteroscedasticityArtificial neural networkEstimatorFeature vectorRadial basis functionRadial basis function networkArtificial intelligenceProbabilistic logicSeparable spaceSmall sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity: A reply to Banker, Chang, and Cooperarticle