Obserwuj
Timo Kuosmanen
Tytuł
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Cytowane przez
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Measuring eco‐efficiency of production with data envelopment analysis
T Kuosmanen, M Kortelainen
Journal of Industrial Ecology 9 (4), 59-72, 2005
8302005
Weak disposability in nonparametric production analysis with undesirable outputs
T Kuosmanen
American Journal of Agricultural Economics 87 (4), 1077-1082, 2005
5932005
Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints
T Kuosmanen, M Kortelainen
Journal of Productivity Analysis 38 (1), 11-28, 2012
484*2012
Data envelopment analysis as nonparametric least-squares regression
T Kuosmanen, AL Johnson
Operations Research 58 (1), 149-160, 2010
3092010
Efficient diversification according to stochastic dominance criteria
T Kuosmanen
Management Science 50 (10), 1390-1406, 2004
2952004
Representation theorem for convex nonparametric least squares
T Kuosmanen
The Econometrics Journal 11 (2), 308-325, 2008
2862008
Weak disposability in nonparametric production analysis: reply to Färe and Grosskopf
T Kuosmanen, V Podinovski
American Journal of Agricultural Economics 91 (2), 539-545, 2009
2442009
One-stage and two-stage DEA estimation of the effects of contextual variables
AL Johnson, T Kuosmanen
European Journal of Operational Research 220 (2), 559-570, 2012
2012012
How not to measure sustainable value (and how one might)
T Kuosmanen, N Kuosmanen
Ecological Economics 69 (2), 235-243, 2009
1942009
Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model
T Kuosmanen
Energy Economics 34 (6), 2189-2199, 2012
1922012
What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods
T Kuosmanen, A Saastamoinen, T Sipiläinen
Energy Policy 61, 740-750, 2013
1742013
Stochastic nonparametric approach to efficiency analysis: A unified framework
T Kuosmanen, A Johnson, A Saastamoinen
Data Envelopment Analysis: A Handbook of Models and Methods, 191-244, 2015
1592015
The law of one price in data envelopment analysis: Restricting weight flexibility across firms
T Kuosmanen, L Cherchye, T Sipiläinen
European Journal of Operational Research 170 (3), 735-757, 2006
1532006
Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions
VV Podinovski, T Kuosmanen
European Journal of Operational Research 211 (3), 577-585, 2011
1522011
Benchmarking sustainable development: a synthetic meta-index approach
L Cherchye, T Kuosmanen
WIDER Research Paper, 2004
1512004
Measurement and analysis of eco‐efficiency: An economist's perspective
T Kuosmanen
Journal of Industrial Ecology 9 (4), 15-18, 2005
1382005
One-stage estimation of the effects of operational conditions and practices on productive performance: Asymptotically normal and efficient, root-n consistent StoNEZD method
AL Johnson, T Kuosmanen
Journal of Productivity Analysis 36 (2), 219-230, 2011
1372011
Theory of integer-valued data envelopment analysis
T Kuosmanen, RK Matin
European journal of operational research 192 (2), 658-667, 2009
1372009
Data envelopment analysis with missing data
T Kuosmanen
Journal of the Operational Research Society 60 (12), 1767-1774, 2009
135*2009
Best-practice benchmarking using clustering methods: Application to energy regulation
X Dai, T Kuosmanen
Omega 42 (1), 179-188, 2014
1332014
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