Data envelopment analysis : : a handbook of models and methods /

Data envelopment analysis : : a handbook of models and methods / / Joe Zhu, editor ; contributors, Juan Aparicio [and twenty six others].

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Superior document:International Series in Operations Research & Management Science, Volume 221
TeilnehmendeR:
Zhu, Joe,
Aparicio, Juan,
Place / Publishing House:New York : : Springer,, 2015.
2015
Year of Publication:2015
Language:English
Series:International series in operations research & management science ; Volume 221.
Online Access:
Physical Description:1 online resource (472 pages) :; illustrations, tables.
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ctrlnum (MiAaPQ)5002096339
(Au-PeEL)EBL2096339
(CaPaEBR)ebr11035174
(OCoLC)905348840
collection bib_alma
record_format marc
spelling Data envelopment analysis : a handbook of models and methods / Joe Zhu, editor ; contributors, Juan Aparicio [and twenty six others].
New York : Springer, 2015.
2015
1 online resource (472 pages) : illustrations, tables.
text rdacontent
computer rdamedia
online resource rdacarrier
International Series in Operations Research & Management Science, 2214-7934 ; Volume 221
Includes bibliographical references at the end of each chapters and index.
Description based on online resource; title from PDF title page (ebrary, viewed September 18, 2015).
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Data envelopment analysis Handbooks, manuals, etc.
Electronic books.
Zhu, Joe, editor.
Aparicio, Juan, contributor.
Print version: Data envelopment analysis : a handbook of models and methods. New York : Springer, c2015 xii, 465 pages International series in operations research & management science ; Volume 221. 9781489975522
ProQuest (Firm)
International series in operations research & management science ; Volume 221.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=2096339 Click to View
language English
format eBook
author2 Zhu, Joe,
Aparicio, Juan,
author_facet Zhu, Joe,
Aparicio, Juan,
author2_variant j z jz
j a ja
author2_role TeilnehmendeR
TeilnehmendeR
title Data envelopment analysis : a handbook of models and methods /
spellingShingle Data envelopment analysis : a handbook of models and methods /
International Series in Operations Research & Management Science,
title_sub a handbook of models and methods /
title_full Data envelopment analysis : a handbook of models and methods / Joe Zhu, editor ; contributors, Juan Aparicio [and twenty six others].
title_fullStr Data envelopment analysis : a handbook of models and methods / Joe Zhu, editor ; contributors, Juan Aparicio [and twenty six others].
title_full_unstemmed Data envelopment analysis : a handbook of models and methods / Joe Zhu, editor ; contributors, Juan Aparicio [and twenty six others].
title_auth Data envelopment analysis : a handbook of models and methods /
title_new Data envelopment analysis :
title_sort data envelopment analysis : a handbook of models and methods /
series International Series in Operations Research & Management Science,
series2 International Series in Operations Research & Management Science,
publisher Springer,
publishDate 2015
physical 1 online resource (472 pages) : illustrations, tables.
isbn 9781489975539 (e-book)
9781489975522
issn 2214-7934 ;
callnumber-first H - Social Science
callnumber-subject HA - Statistics
callnumber-label HA31
callnumber-sort HA 231.38 D383 42015
genre Electronic books.
genre_facet Handbooks, manuals, etc.
Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=2096339
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.72
dewey-sort 3519.72
dewey-raw 519.72
dewey-search 519.72
oclc_num 905348840
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hierarchy_parent_title International Series in Operations Research & Management Science, Volume 221
hierarchy_sequence Volume 221.
is_hierarchy_title Data envelopment analysis : a handbook of models and methods /
container_title International Series in Operations Research & Management Science, Volume 221
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