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Stochastic efficiency measures for production units with correlated data

Kao, Chiang; Liu, Shiang-Tai - In: European journal of operational research : EJOR 273 (2019) 1, pp. 278-287

Persistent link: https://www.econbiz.de/10011979522

Inefficiency identification for closed series production systems

Kao, Chiang - In: European journal of operational research : EJOR 275 (2019) 2, pp. 599-607

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Stochastic data envelopment analysis : a quantile regression approach to estimate the production frontier

Jradi, Samah; Ruggiero, John - In: European journal of operational research : EJOR 278 (2019) 2, pp. 385-393

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Efficiency decomposition and aggregation in network data envelopment analysis

Kao, Chiang - In: European journal of operational research : EJOR 255 (2016) 3, pp. 778-786

Persistent link: https://www.econbiz.de/10011556139

A parallel production frontiers approach for intertemporal efficiency analysis : the case of Taiwanese commercial banks

Kao, Chiang; Liu, Shiang-Tai - In: European journal of operational research : EJOR 255 (2016) 2, pp. 411-421

Persistent link: https://www.econbiz.de/10011532088

Measuring efficiency in a general production possibility set allowing for negative data

Kao, Chiang - In: European journal of operational research : EJOR 282 (2020) 3, pp. 980-988

Persistent link: https://www.econbiz.de/10012161818

Direct targeting of efficient DMUs for benchmarking

Krüger, Jens - In: International journal of production economics 199 (2018), pp. 1-6

Persistent link: https://www.econbiz.de/10011833641

An improved Afriat-Diewert-Parkan nonparametric production function estimator

Olesen, Ole Bent; Ruggiero, John - In: European journal of operational research : EJOR 264 (2018) 3, pp. 1172-1188

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Technical, environmental and eco-efficiency measurement for supplier selection : an extension and application of data envelopment analysis

Mahdiloo, Mahdi; Saen, Reza Farzipoor; Lee, Ki-hoon - In: International journal of production economics 168 (2015), pp. 279-289

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Problems of using grouped DMUs for efficiency measurement : Monte Carlo experiments, empirical dimension, and a correction procedure

Brümmer, Bernhard (contributor); … - 1999 - [Elektronische Ressource]

This paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo...

Persistent link: https://www.econbiz.de/10001554071