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DEA problems under geometrical or probability uncertainties of sample data
Althaler, Karl S.; Slavova, Tatjana - 2000
optimization methods, using the stochastic frontier functions estimation. -- DEA ; sample data uncertainty ; linear programming …
Persistent link: https://www.econbiz.de/10009724434
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DEA problems under geometrical or probability uncertainties of sample data
Althaler, Karl S.; Slavova, Tatjana - 2000
Persistent link: https://www.econbiz.de/10001583853
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Optimal industrial classification : [an application to the German industrial classification system]
Chipman, John Somerset; Winker, Peter - 1994
A widely used method in the analysis of complex econometric models is to replace the "true model" by an aggregative one in which the variables are grouped and replaced by sums or weighted averages of the variables in each group. The analysis of the problem of choosing an aggregative model...
Persistent link: https://www.econbiz.de/10009774715
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Store performance optimization : demand and supply side implications
Mohr, Stefan - 2002 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001658278
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Ranking joint stock companies : an analysis of different multi criteria methods
Tamm, Sabrina - 1997
Persistent link: https://www.econbiz.de/10000980431
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From the publisher to the wholesalers determination of the number of copies and their distribution among the wholesalers
Dillmann, Roland - 2001
Persistent link: https://www.econbiz.de/10001563617
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Modelling and trading the English and German stock markets with novelty optimization techniques
Karathanasopoulos, Andreas; Mitra, Sovan; Skindilias, … - In: Journal of forecasting 36 (2017) 8, pp. 974-988
Persistent link: https://www.econbiz.de/10011860938
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Optimal industrial classification
Chipman, John Somerset; Winker, Peter - 1994
Persistent link: https://www.econbiz.de/10013388119