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subject:"Monte-Carlo-Simulation"
subject:"Panel study"
~isPartOf:"European journal of operational research : EJOR"
~isPartOf:"USC-INET Research Paper"
~person:"Johnson, Andrew L."
~subject:"Kleinste-Quadrate-Methode"
~subject:"Mathematical programming"
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Johnson, Andrew L.
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European journal of operational research : EJOR
USC-INET Research Paper
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ECONIS (ZBW)
2
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Estimating stochastic production frontiers : a one-stage multivariate semiparametric Bayesian concave regression method
Preciado Arreola, José Luis
;
Johnson, Andrew L.
;
Chen, …
- In:
European journal of operational research : EJOR
287
(
2020
)
2
,
pp. 699-711
Persistent link: https://www.econbiz.de/10012293942
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2
A more efficient algorithm for Convex Nonparametric Least Squares
Lee, Chia-yen
;
Johnson, Andrew L.
;
Moreno-Centeno, Erick
; …
- In:
European journal of operational research : EJOR
227
(
2013
)
2
,
pp. 391-400
Persistent link: https://www.econbiz.de/10009725603
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