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Persistent link: https://www.econbiz.de/10011846934

Presenting a predictive benchmark model of after-sales service agencies for vehicles based on the data envelopment analysis approach

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DEANN : a healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status

Misiunas, Nicholas; Oztekin, Asil; Chen, Yao; Chandra, … - In: Omega : the international journal of management science 58 (2016), pp. 46-54

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Performance evaluation of BDI forecasting models cross efficiency, the directional distance function and the AVS utility function

Yu, Ming-miin; Bulut, Emrah - In: International journal of transport economics : IJTE 46 (2019) 1/2, pp. 177-199

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Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling

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Rationalizing Forecast Inefficiency

Ham, Charles (Chad); Kaplan, Zachary; Lemayian, Zawadi - 2021

We show analysts’ own earnings forecasts predict error in their own forecasts of earnings at other horizons, which we argue provides a measure of the extent to which analysts inefficiently use information. We construct our measure by exploiting two sources of variation in analysts’...

Persistent link: https://www.econbiz.de/10013220544