bibtype J - Journal Article
ARLID 0458120
utime 20240103212100.1
mtime 20160415235959.9
SCOPUS 84959338597
WOS 000373544100027
DOI 10.1016/j.orl.2016.02.007
title (primary) (eng) DEA models equivalent to general Nth order stochastic dominance efficiency tests
specification
page_count 5 s.
media_type P
serial
ARLID cav_un_epca*0254574
ISSN 0167-6377
title Operations Research Letters
volume_id 44
volume 2 (2016)
page_num 285-289
publisher
name Elsevier
keyword Nth order stochastic dominance efficiency
keyword Data envelopment analysis
keyword Convex NSD efficiency
keyword NSD portfolio efficiency
author (primary)
ARLID cav_un_auth*0280972
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
full_dept Department of Decision Making Theory
name1 Branda
name2 Martin
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0254103
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
name1 Kopa
name2 Miloš
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/E/branda-0458120.pdf
cas_special
project
ARLID cav_un_auth*0292622
project_id GA13-25911S
agency GA ČR
project
ARLID cav_un_auth*0321507
project_id GA15-00735S
agency GA ČR
project
ARLID cav_un_auth*0329982
project_id GA15-02938S
agency GA ČR
country CZ
abstract (eng) 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.
RIV BB
reportyear 2017
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0258933
confidential S
mrcbC86 1 Article Operations Research Management Science
mrcbT16-e OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 0.526
mrcbT16-s 0.814
mrcbT16-4 Q1
mrcbT16-B 28.467
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2016
mrcbU14 84959338597 SCOPUS
mrcbU34 000373544100027 WOS
mrcbU63 cav_un_epca*0254574 Operations Research Letters 0167-6377 1872-7468 Roč. 44 č. 2 2016 285 289 Elsevier