{"id":"https://openalex.org/W4320496429","doi":"https://doi.org/10.1080/03610918.2023.2173779","title":"On subset multiple correspondence analysis for incomplete multivariate categorical data","display_name":"On subset multiple correspondence analysis for incomplete multivariate categorical data","publication_year":2023,"publication_date":"2023-02-13","ids":{"openalex":"https://openalex.org/W4320496429","doi":"https://doi.org/10.1080/03610918.2023.2173779"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2173779","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2173779","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039729142","display_name":"Johan\u00e9 Nienkemper-Swanepoel","orcid":"https://orcid.org/0000-0001-6086-8272"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"J. Nienkemper-Swanepoel","raw_affiliation_strings":["Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa"],"affiliations":[{"raw_affiliation_string":"Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042363053","display_name":"Ni\u00ebl le Roux","orcid":"https://orcid.org/0000-0002-1791-746X"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"N. J. le Roux","raw_affiliation_strings":["Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa"],"affiliations":[{"raw_affiliation_string":"Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065864351","display_name":"Sugnet Gardner\u2010Lubbe","orcid":"https://orcid.org/0000-0003-2762-9944"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"S. Gardner-Lubbe","raw_affiliation_strings":["Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa"],"affiliations":[{"raw_affiliation_string":"Centre for Multi-Dimensional Data Visualisation (MuViSU), Department of Statistics and Actuarial Science, Stellenbosch University, Stellenbosch, South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039729142"],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":0.8056,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72767996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"53","issue":"11","first_page":"5229","last_page":"5241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9861000180244446,"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":0.9861000180244446,"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/T10057","display_name":"Face and Expression Recognition","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9273999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8406292200088501},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.786125898361206},{"id":"https://openalex.org/keywords/correspondence-analysis","display_name":"Correspondence analysis","score":0.7155090570449829},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.6505993008613586},{"id":"https://openalex.org/keywords/multiple-correspondence-analysis","display_name":"Multiple correspondence analysis","score":0.5769079327583313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5215599536895752},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4483460783958435}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8406292200088501},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.786125898361206},{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.7155090570449829},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.6505993008613586},{"id":"https://openalex.org/C97448799","wikidata":"https://www.wikidata.org/wiki/Q2845212","display_name":"Multiple correspondence analysis","level":2,"score":0.5769079327583313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5215599536895752},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4483460783958435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2173779","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2173779","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W60275550","https://openalex.org/W612972800","https://openalex.org/W1966469525","https://openalex.org/W2063059120","https://openalex.org/W2064572184","https://openalex.org/W2069087665","https://openalex.org/W2114075052","https://openalex.org/W2122095084","https://openalex.org/W2133470535","https://openalex.org/W2146332392","https://openalex.org/W2150657707","https://openalex.org/W2324153417","https://openalex.org/W2488561715","https://openalex.org/W3004151993","https://openalex.org/W3022413497","https://openalex.org/W4205622916","https://openalex.org/W4233709221","https://openalex.org/W4241492945","https://openalex.org/W4300187280","https://openalex.org/W4300882602"],"related_works":["https://openalex.org/W2012964340","https://openalex.org/W2113183659","https://openalex.org/W2072636203","https://openalex.org/W4233725187","https://openalex.org/W4242537497","https://openalex.org/W1999836890","https://openalex.org/W2066965171","https://openalex.org/W2941926315","https://openalex.org/W104705531","https://openalex.org/W2059187041"],"abstract_inverted_index":{"Multiple":[0],"imputation":[1,29,48],"is":[2,125,155,170,195],"considered":[3],"as":[4,161,197],"a":[5,33,95,162,188],"superior":[6],"data":[7,40,59,133,145],"analysis":[8,92,97,174],"practice":[9],"to":[10,71,126],"deal":[11],"with":[12,192],"missing":[13,73,85,102,147],"values.":[14],"This":[15,157],"is,":[16],"in":[17,21],"particular,":[18],"also":[19],"true":[20],"the":[22,37,43,54,58,82,101,107,113,117,128,140,152,167,173,185],"important":[23],"case":[24,44],"of":[25,45,57,84,100,106,116,122,142,175,184],"categorical":[26,46,144,178],"variables.":[27],"However,":[28],"techniques":[30],"could":[31,159],"be":[32,50],"daunting":[34],"task":[35],"for":[36,68,172],"less":[38],"technical":[39],"practitioner.":[41],"In":[42,138],"variables,":[47],"can":[49],"avoided":[51],"by":[52],"recoding":[53],"indicator":[55,79,109],"matrix":[56,80,110],"set":[60],"before":[61],"analysis.":[62],"New":[63],"category":[64],"levels":[65],"are":[66,75],"created":[67],"each":[69],"variable":[70],"which":[72,134],"values":[74,148],"assigned.":[76],"The":[77,119],"recoded":[78,108],"enables":[81],"separation":[83],"and":[86],"observed":[87],"responses.":[88],"Subset":[89],"multiple":[90],"correspondence":[91],"(sMCA)":[93],"allows":[94],"focused":[96],"on":[98],"either":[99],"or":[103],"non-missing":[104],"subsets":[105],"while":[111],"preserving":[112],"original":[114],"variation":[115],"data.":[118,179],"main":[120],"purpose":[121],"this":[123],"article":[124,158],"evaluate":[127],"sMCA":[129,153,168],"approach":[130,154,169],"using":[131],"simulated":[132],"incorporate":[135],"various":[136],"parameters.":[137],"addition,":[139],"visualization":[141],"multivariate":[143,177],"containing":[146],"that":[149],"follows":[150],"from":[151],"presented.":[156],"aid":[160],"guide":[163],"when":[164],"deciding":[165],"whether":[166],"suitable":[171],"incomplete":[176],"To":[180],"ensure":[181],"effortless":[182],"application":[183],"presented":[186],"methodology,":[187],"complete":[189],"R":[190],"script":[191],"commented":[193],"functions":[194],"available":[196],"supplementary":[198],"material.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
