DEA models equivalent to general Nth order stochastic dominance efficiency tests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00458120" target="_blank" >RIV/67985556:_____/16:00458120 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/16:10323559
Result on the web
<a href="http://dx.doi.org/10.1016/j.orl.2016.02.007" target="_blank" >http://dx.doi.org/10.1016/j.orl.2016.02.007</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.orl.2016.02.007" target="_blank" >10.1016/j.orl.2016.02.007</a>
Alternative languages
Result language
angličtina
Original language name
DEA models equivalent to general Nth order stochastic dominance efficiency tests
Original language description
We introduce data envelopment analysis (DEA) models equivalent to efficiency tests with respect to the Nth order stochastic dominance (NSD). In particular, we focus on strong and weak variants of convex NSD efficiency and NSD portfolio efficiency. The proposed DEA models are in relation with strong and weak Pareto–Koopmans efficiencies and employ Nth order lower and co-lower partial moments.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Operations Research Letters
ISSN
0167-6377
e-ISSN
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Volume of the periodical
44
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
5
Pages from-to
285-289
UT code for WoS article
000373544100027
EID of the result in the Scopus database
2-s2.0-84959338597