Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis
This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 2...
Gespeichert in:
| Veröffentlicht in: | Journal of applied statistics 2013-05, Vol.40 (5), p.1032-1043 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1043 |
|---|---|
| container_issue | 5 |
| container_start_page | 1032 |
| container_title | Journal of applied statistics |
| container_volume | 40 |
| creator | Gonçalves, Antonio Carlos Almeida, Renan M.V.R. Lins, Marcos Pereira Estellita Samanez, Carlos P. |
| description | This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 27 Brazilian cities, producing as outputs average payment (average admission values) and percentage of hospital admissions according to disease groups (International Classification of Diseases, 9th Edition), and having as inputs mortality rates and average stay (length of stay after admission (days)). In this application, performance scores were calculated for both the (CCA) restricted and unrestricted DEA models. It can be concluded that the use of CCA-based weight limits for DEA models increases the consistency of the estimated DEA scores (more homogenous weights) and that these limits do not present mathematical infeasibility problems while avoiding the need for subjectively restricting weight variation in DEA. |
| doi_str_mv | 10.1080/02664763.2013.772571 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_infor</sourceid><recordid>TN_cdi_proquest_journals_1348164201</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1671529016</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-eac0f82de713f6408c736e50cb98c1c2c8f17bb07baf4d8ac3ae43d80d21532c3</originalsourceid><addsrcrecordid>eNp9kMFuEzEQhi1EJULoG3CwxIXLpmN713ZPCEWUVqrEBc7WxDumrhw72BuqvD27BHrgwGmkmW9-zXyMvRWwEWDhCqTWvdFqI0GojTFyMOIFWwmloYNByZdstSDdwrxir1t7BAArBrVitMVccvSYuC-1UsIplswxYzq12HjMfHogPlKIOf4elcCfKH5_mHilNtXol27joVQ-4oSc8k9K5bCnPD3HvGEXAVOjyz91zb7dfPq6ve3uv3y-236877zSduoIPQQrRzJCBd2D9UZpGsDvrq0XXnobhNntwOww9KNFr5B6NVoY5fyM9GrN3p9zD7X8OM7nuX1snlLCTOXYnNBGDPIahJ7Rd_-gj-VY53tnSvVW6H6RuWb9mfK1tFYpuEONe6wnJ8At7t1f927B3dn9vPbhvBbz7GWPT6Wm0U14SqWGitnH5tR_E34BauaMZg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1348164201</pqid></control><display><type>article</type><title>Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis</title><source>EBSCOhost Business Source Complete</source><creator>Gonçalves, Antonio Carlos ; Almeida, Renan M.V.R. ; Lins, Marcos Pereira Estellita ; Samanez, Carlos P.</creator><creatorcontrib>Gonçalves, Antonio Carlos ; Almeida, Renan M.V.R. ; Lins, Marcos Pereira Estellita ; Samanez, Carlos P.</creatorcontrib><description>This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 27 Brazilian cities, producing as outputs average payment (average admission values) and percentage of hospital admissions according to disease groups (International Classification of Diseases, 9th Edition), and having as inputs mortality rates and average stay (length of stay after admission (days)). In this application, performance scores were calculated for both the (CCA) restricted and unrestricted DEA models. It can be concluded that the use of CCA-based weight limits for DEA models increases the consistency of the estimated DEA scores (more homogenous weights) and that these limits do not present mathematical infeasibility problems while avoiding the need for subjectively restricting weight variation in DEA.</description><identifier>ISSN: 0266-4763</identifier><identifier>EISSN: 1360-0532</identifier><identifier>DOI: 10.1080/02664763.2013.772571</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Brazil ; canonical correlation ; Classification ; Consistency ; Constrictions ; Correlation analysis ; Data envelopment analysis ; Disease ; efficient frontier ; health units performance ; Hospitals ; Mathematical models ; Mortality ; Operations research ; Patient admissions ; Studies ; weight restrictions</subject><ispartof>Journal of applied statistics, 2013-05, Vol.40 (5), p.1032-1043</ispartof><rights>Copyright Taylor & Francis Group, LLC 2013</rights><rights>Copyright Taylor & Francis Ltd. 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-eac0f82de713f6408c736e50cb98c1c2c8f17bb07baf4d8ac3ae43d80d21532c3</citedby><cites>FETCH-LOGICAL-c368t-eac0f82de713f6408c736e50cb98c1c2c8f17bb07baf4d8ac3ae43d80d21532c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Gonçalves, Antonio Carlos</creatorcontrib><creatorcontrib>Almeida, Renan M.V.R.</creatorcontrib><creatorcontrib>Lins, Marcos Pereira Estellita</creatorcontrib><creatorcontrib>Samanez, Carlos P.</creatorcontrib><title>Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis</title><title>Journal of applied statistics</title><description>This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 27 Brazilian cities, producing as outputs average payment (average admission values) and percentage of hospital admissions according to disease groups (International Classification of Diseases, 9th Edition), and having as inputs mortality rates and average stay (length of stay after admission (days)). In this application, performance scores were calculated for both the (CCA) restricted and unrestricted DEA models. It can be concluded that the use of CCA-based weight limits for DEA models increases the consistency of the estimated DEA scores (more homogenous weights) and that these limits do not present mathematical infeasibility problems while avoiding the need for subjectively restricting weight variation in DEA.</description><subject>Brazil</subject><subject>canonical correlation</subject><subject>Classification</subject><subject>Consistency</subject><subject>Constrictions</subject><subject>Correlation analysis</subject><subject>Data envelopment analysis</subject><subject>Disease</subject><subject>efficient frontier</subject><subject>health units performance</subject><subject>Hospitals</subject><subject>Mathematical models</subject><subject>Mortality</subject><subject>Operations research</subject><subject>Patient admissions</subject><subject>Studies</subject><subject>weight restrictions</subject><issn>0266-4763</issn><issn>1360-0532</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kMFuEzEQhi1EJULoG3CwxIXLpmN713ZPCEWUVqrEBc7WxDumrhw72BuqvD27BHrgwGmkmW9-zXyMvRWwEWDhCqTWvdFqI0GojTFyMOIFWwmloYNByZdstSDdwrxir1t7BAArBrVitMVccvSYuC-1UsIplswxYzq12HjMfHogPlKIOf4elcCfKH5_mHilNtXol27joVQ-4oSc8k9K5bCnPD3HvGEXAVOjyz91zb7dfPq6ve3uv3y-236877zSduoIPQQrRzJCBd2D9UZpGsDvrq0XXnobhNntwOww9KNFr5B6NVoY5fyM9GrN3p9zD7X8OM7nuX1snlLCTOXYnNBGDPIahJ7Rd_-gj-VY53tnSvVW6H6RuWb9mfK1tFYpuEONe6wnJ8At7t1f927B3dn9vPbhvBbz7GWPT6Wm0U14SqWGitnH5tR_E34BauaMZg</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Gonçalves, Antonio Carlos</creator><creator>Almeida, Renan M.V.R.</creator><creator>Lins, Marcos Pereira Estellita</creator><creator>Samanez, Carlos P.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130501</creationdate><title>Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis</title><author>Gonçalves, Antonio Carlos ; Almeida, Renan M.V.R. ; Lins, Marcos Pereira Estellita ; Samanez, Carlos P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-eac0f82de713f6408c736e50cb98c1c2c8f17bb07baf4d8ac3ae43d80d21532c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Brazil</topic><topic>canonical correlation</topic><topic>Classification</topic><topic>Consistency</topic><topic>Constrictions</topic><topic>Correlation analysis</topic><topic>Data envelopment analysis</topic><topic>Disease</topic><topic>efficient frontier</topic><topic>health units performance</topic><topic>Hospitals</topic><topic>Mathematical models</topic><topic>Mortality</topic><topic>Operations research</topic><topic>Patient admissions</topic><topic>Studies</topic><topic>weight restrictions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonçalves, Antonio Carlos</creatorcontrib><creatorcontrib>Almeida, Renan M.V.R.</creatorcontrib><creatorcontrib>Lins, Marcos Pereira Estellita</creatorcontrib><creatorcontrib>Samanez, Carlos P.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of applied statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonçalves, Antonio Carlos</au><au>Almeida, Renan M.V.R.</au><au>Lins, Marcos Pereira Estellita</au><au>Samanez, Carlos P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis</atitle><jtitle>Journal of applied statistics</jtitle><date>2013-05-01</date><risdate>2013</risdate><volume>40</volume><issue>5</issue><spage>1032</spage><epage>1043</epage><pages>1032-1043</pages><issn>0266-4763</issn><eissn>1360-0532</eissn><abstract>This work investigates the use of canonical correlation analysis (CCA) in the definition of weight restrictions for data envelopment analysis (DEA). With this purpose, CCA limits are introduced into Wong and Beasley's DEA model. An application of the method is made over data from hospitals in 27 Brazilian cities, producing as outputs average payment (average admission values) and percentage of hospital admissions according to disease groups (International Classification of Diseases, 9th Edition), and having as inputs mortality rates and average stay (length of stay after admission (days)). In this application, performance scores were calculated for both the (CCA) restricted and unrestricted DEA models. It can be concluded that the use of CCA-based weight limits for DEA models increases the consistency of the estimated DEA scores (more homogenous weights) and that these limits do not present mathematical infeasibility problems while avoiding the need for subjectively restricting weight variation in DEA.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/02664763.2013.772571</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0266-4763 |
| ispartof | Journal of applied statistics, 2013-05, Vol.40 (5), p.1032-1043 |
| issn | 0266-4763 1360-0532 |
| language | eng |
| recordid | cdi_proquest_journals_1348164201 |
| source | EBSCOhost Business Source Complete |
| subjects | Brazil canonical correlation Classification Consistency Constrictions Correlation analysis Data envelopment analysis Disease efficient frontier health units performance Hospitals Mathematical models Mortality Operations research Patient admissions Studies weight restrictions |
| title | Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T20%3A16%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Canonical%20correlation%20analysis%20in%20the%20definition%20of%20weight%20restrictions%20for%20data%20envelopment%20analysis&rft.jtitle=Journal%20of%20applied%20statistics&rft.au=Gon%C3%A7alves,%20Antonio%20Carlos&rft.date=2013-05-01&rft.volume=40&rft.issue=5&rft.spage=1032&rft.epage=1043&rft.pages=1032-1043&rft.issn=0266-4763&rft.eissn=1360-0532&rft_id=info:doi/10.1080/02664763.2013.772571&rft_dat=%3Cproquest_infor%3E1671529016%3C/proquest_infor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1348164201&rft_id=info:pmid/&rfr_iscdi=true |