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Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)

Dyckhoff, Harald; Allen, Katrin - In: Schmalenbachs Zeitschrift für betriebswirtschaftliche … 51 (1999) 5, pp. 411-436

Persistent link: https://www.econbiz.de/10001390282

Stochastic non-smooth envelopment of data for multi-dimensional output

Schaefer, Julia; Clermont, Marcel - In: Journal of productivity analysis 50 (2018) 3, pp. 139-154

Persistent link: https://www.econbiz.de/10012005131

Identification of outliers in Data Envelopment Analysis : an approach using structure-detecting statistical procedures

Clermont, Marcel; Schaefer, Julia - In: Schmalenbach business review : sbr 71 (2019) 4, pp. 475-496

Persistent link: https://www.econbiz.de/10012108579

The impact of selected input and output factors on measuring research efficiency of university research fields : insights from a purpose-, field-, and method-specific perspective

Ahn, Heinz; Clermont, Marcel; Langner, Julia - In: Journal of business economics : JBE 92 (2022) 8, pp. 1303-1335

Persistent link: https://www.econbiz.de/10013440057

Comparative performance analysis of frontier-based efficiency measurement methods : a Monte Carlo simulation

Ahn, Heinz; Clermont, Marcel; Langner, Julia - In: European journal of operational research : EJOR 307 (2023) 1, pp. 294-312

Persistent link: https://www.econbiz.de/10014292955

Messung ökologischer Effizienz mittels Data Envelopment Analysis

Allen, Katrin - 2002 - 1. Aufl.

Persistent link: https://www.econbiz.de/10001672633

Performance of Efficiency Measurement by StoNED Compared to DEA and SFA in Cases of Leontief and By-Production Technologies

Schaefer, Julia - 2020

Stochastic Non-smooth Envelopment of Data (StoNED) is a semi-parametric and stochastic method of efficiency measurement that combines some of the virtues of the classical counterparts, namely Stochastic Frontier Analysis (SFA) versus Data Envelopment Analysis (DEA). Recently, it has been...

Persistent link: https://www.econbiz.de/10012843086

Relevance of Disposability Assumptions for Efficiency Measurement

Dyckhoff, Harald - 2017

A recent article of Dakpo, Jeanneaux and Latruffe critically reviews the developments, limits and future prospects of integrating environmental aspects into productive efficiency evaluation with Data Envelopment Analysis (DEA). In particular, it is concluded that multiple frontier technologies...

Persistent link: https://www.econbiz.de/10012948749