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Journal Articles
- 2023
[j10]Lorenz Aigner
, Mette Asmild:
Identifying the most important set of weights when modelling bad outputs with the weak disposability approach. Eur. J. Oper. Res. 310(2): 751-759 (2023)- 2016
- [j9]Mette Asmild, Dorte Kronborg, Kent Matthews:
Introducing and modeling inefficiency contributions. Eur. J. Oper. Res. 248(2): 725-730 (2016) - [j8]Mette Asmild, Minyan Zhu:
Controlling for the use of extreme weights in bank efficiency assessments during the financial crisis. Eur. J. Oper. Res. 251(3): 999-1015 (2016) - 2013
- [j7]Mette Asmild, Jens Leth Hougaard, Dorte Kronborg:
Do efficiency scores depend on input mix? A statistical test and empirical illustration. Ann. Oper. Res. 211(1): 37-48 (2013) - [j6]Mette Asmild, Jens Leth Hougaard, Ole Bent Olesen:
Testing over-representation of observations in subsets of a DEA technology. Eur. J. Oper. Res. 230(1): 88-96 (2013) - 2012
- [j5]Mette Asmild, Kent Matthews:
Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997-2008. Eur. J. Oper. Res. 219(2): 434-441 (2012) - [j4]Mette Asmild, Joseph C. Paradi, Jesús T. Pastor:
DEA based models for reallocations of police personnel. OR Spectr. 34(4): 921-941 (2012) - 2007
- [j3]Mette Asmild, Joseph C. Paradi, David N. Reese, Fai Tam:
Measuring overall efficiency and effectiveness using DEA. Eur. J. Oper. Res. 178(1): 305-321 (2007) - 2006
- [j2]Mette Asmild, Joseph C. Paradi, Atin Kulkarni:
Using Data Envelopment Analysis in software development productivity measurement. Softw. Process. Improv. Pract. 11(6): 561-572 (2006) - 2005
- [j1]Parisa Hosseini Ardehali, Joseph C. Paradi, Mette Asmild:
Assessing Financial Risk Tolerance of Portfolio Investors Using Data Envelopment Analysis. Int. J. Inf. Technol. Decis. Mak. 4(3): 491-519 (2005)
Coauthor Index
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