{"id":"https://openalex.org/W4280597532","doi":"https://doi.org/10.1007/s10479-022-04718-z","title":"Weighted cumulative correspondence analysis based on a particular cumulative power divergence family","display_name":"Weighted cumulative correspondence analysis based on a particular cumulative power divergence family","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4280597532","doi":"https://doi.org/10.1007/s10479-022-04718-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10479-022-04718-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-022-04718-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-022-04718-z.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10479-022-04718-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032598364","display_name":"Antonello D\u2019Ambra","orcid":"https://orcid.org/0000-0001-6813-8979"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonello D\u2019Ambra","raw_affiliation_strings":["Department of Economics, University of Campania \u201cL.Vanvitelli\u201d, Via Gran Priorato di Malta, Capua, CE, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6813-8979","affiliations":[{"raw_affiliation_string":"Department of Economics, University of Campania \u201cL.Vanvitelli\u201d, Via Gran Priorato di Malta, Capua, CE, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083501499","display_name":"Giovanni Meccariello","orcid":"https://orcid.org/0000-0002-6530-5644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Meccariello","raw_affiliation_strings":["Institute of Sciences and Technologies for Sustainable Energy and Mobility, Via Guglielmo Marconi, 4, Naples, NA, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6530-5644","affiliations":[{"raw_affiliation_string":"Institute of Sciences and Technologies for Sustainable Energy and Mobility, Via Guglielmo Marconi, 4, Naples, NA, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068693774","display_name":"Livia Della Ragione","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Livia Della Ragione","raw_affiliation_strings":["Institute of Sciences and Technologies for Sustainable Energy and Mobility, Via Guglielmo Marconi, 4, Naples, NA, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6955-2730","affiliations":[{"raw_affiliation_string":"Institute of Sciences and Technologies for Sustainable Energy and Mobility, Via Guglielmo Marconi, 4, Naples, NA, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032598364"],"corresponding_institution_ids":["https://openalex.org/I197809005"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":3147,"currency":"EUR","value_usd":3394},"fwci":0.4473,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64144879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"342","issue":"3","first_page":"1407","last_page":"1428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contingency-table","display_name":"Contingency table","score":0.8867132663726807},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6596300005912781},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6531945466995239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5643606185913086},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5453651547431946},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.44543224573135376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3380754292011261},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.1173495352268219}],"concepts":[{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.8867132663726807},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6596300005912781},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6531945466995239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5643606185913086},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5453651547431946},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.44543224573135376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3380754292011261},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.1173495352268219}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10479-022-04718-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-022-04718-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-022-04718-z.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-022-04718-z","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10479-022-04718-z","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10479-022-04718-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10479-022-04718-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10479-022-04718-z.pdf","source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280597532.pdf","grobid_xml":"https://content.openalex.org/works/W4280597532.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W24143670","https://openalex.org/W1493790738","https://openalex.org/W1512018163","https://openalex.org/W1516900628","https://openalex.org/W1978293767","https://openalex.org/W1980042031","https://openalex.org/W2001482596","https://openalex.org/W2009882452","https://openalex.org/W2020733784","https://openalex.org/W2028949649","https://openalex.org/W2030343814","https://openalex.org/W2030757439","https://openalex.org/W2045154160","https://openalex.org/W2068238289","https://openalex.org/W2071631658","https://openalex.org/W2071636086","https://openalex.org/W2088886565","https://openalex.org/W2089555544","https://openalex.org/W2104146802","https://openalex.org/W2104452301","https://openalex.org/W2113183659","https://openalex.org/W2157343129","https://openalex.org/W2166623442","https://openalex.org/W2167469620","https://openalex.org/W2320283650","https://openalex.org/W2323214586","https://openalex.org/W2326234551","https://openalex.org/W2413573154","https://openalex.org/W2736245674","https://openalex.org/W2754687972","https://openalex.org/W3095495827","https://openalex.org/W3216769276","https://openalex.org/W4237676678","https://openalex.org/W7011740287"],"related_works":["https://openalex.org/W129911744","https://openalex.org/W1163502049","https://openalex.org/W4285192676","https://openalex.org/W4251447460","https://openalex.org/W4255732630","https://openalex.org/W2065338703","https://openalex.org/W2209369186","https://openalex.org/W1999836890","https://openalex.org/W2137384935","https://openalex.org/W3089575900"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"Pearson\u2019s":[2,77],"$$X^2$$":[3],"<mml:math":[4,18],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[5,19],"<mml:msup>":[6,20],"<mml:mi>X</mml:mi>":[7],"<mml:mn>2</mml:mn>":[8,22],"</mml:msup>":[9,23],"</mml:math>":[10,24],"statistic":[11,16],"and":[12,64,97,143],"the":[13,57,71,111],"likelihood":[14],"ratio":[15],"$$G^2$$":[17],"<mml:mi>G</mml:mi>":[21],"are":[25,40,146],"most":[26],"frequently":[27],"used":[28],"for":[29,79],"testing":[30],"independence":[31],"or":[32],"homogeneity,":[33],"in":[34,55,70],"two-way":[35],"contingency":[36,80],"table.":[37],"These":[38],"indexes":[39],"members":[41],"of":[42,46,114,136],"a":[43,91,101,120],"continuous":[44],"family":[45,123],"Power":[47,131],"Divergence":[48],"(PD)":[49],"statistics,":[50],"but":[51],"they":[52],"perform":[53],"badly":[54],"studying":[56],"association":[58],"between":[59],"ordinal":[60],"categorical":[61,84],"variables.":[62,85],"Taguchi\u2019s":[63,96],"Nair\u2019s":[65,98],"statistics":[66,99],"have":[67],"been":[68],"introduced":[69],"literature":[72],"as":[73],"simple":[74],"alternatives":[75],"to":[76,88,94,118],"index":[78],"tables":[81],"with":[82],"ordered":[83],"It\u2019s":[86],"possible":[87],"show,":[89],"using":[90],"parameter,":[92],"how":[93],"link":[95],"obtaining":[100],"new":[102,121],"class":[103],"called":[104,128],"Weighted":[105,129],"Cumulative":[106,130,137],"Chi-Squared":[107],"(WCCS-type":[108],"tests).":[109],"Therefore,":[110],"main":[112],"aim":[113],"this":[115],"paper":[116],"is":[117],"introduce":[119],"divergence":[122],"based":[124,140],"on":[125,141],"cumulative":[126],"frequencies":[127],"Divergence.":[132],"Moreover,":[133],"an":[134],"extension":[135],"Correspondence":[138],"Analysis":[139],"WCCS":[142],"further":[144],"properties":[145],"shown.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
