{"id":"https://openalex.org/W798247397","doi":"https://doi.org/10.5351/ckss.2002.9.2.521","title":"A Study on Detection of Influential Observations on A Subset of Regression Parameters in Multiple Regression","display_name":"A Study on Detection of Influential Observations on A Subset of Regression Parameters in Multiple Regression","publication_year":2002,"publication_date":"2002-08-01","ids":{"openalex":"https://openalex.org/W798247397","doi":"https://doi.org/10.5351/ckss.2002.9.2.521","mag":"798247397"},"language":"en","primary_location":{"id":"doi:10.5351/ckss.2002.9.2.521","doi":"https://doi.org/10.5351/ckss.2002.9.2.521","is_oa":true,"landing_page_url":"https://doi.org/10.5351/ckss.2002.9.2.521","pdf_url":"http://koreascience.or.kr:80/article/JAKO200211921172940.pdf","source":{"id":"https://openalex.org/S2764911580","display_name":"Communications for Statistical Applications and Methods","issn_l":"1225-9500","issn":["1225-9500","2287-7843","2383-4757"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications for Statistical Applications and Methods","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://koreascience.or.kr:80/article/JAKO200211921172940.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100701931","display_name":"Sung Hyun Park","orcid":"https://orcid.org/0000-0002-0961-2615","observed_orcids":["https://orcid.org/0000-0002-0961-2615"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sung Hyun Park","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101108022","display_name":"Jin Ho Oh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Ho Oh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":"521","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":1.0,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T13141","display_name":"Statistical Methods and Applications","score":0.0,"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/influential-observations","display_name":"influential observations","score":0.984000027179718},{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":0.8500000238418579},{"id":"https://openalex.org/keywords/diagnostic-measures","display_name":"diagnostic measures","score":0.5849999785423279},{"id":"https://openalex.org/keywords/mask-effect","display_name":"mask effect","score":0.8009999990463257}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.7229478359222412},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6769222021102905},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6748120784759521},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6653379201889038},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.6186314821243286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5503609776496887},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5482762455940247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5095539093017578},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.4863463044166565},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.4003342390060425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3721497356891632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2817472815513611}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5351/ckss.2002.9.2.521","doi":"https://doi.org/10.5351/ckss.2002.9.2.521","is_oa":true,"landing_page_url":"https://doi.org/10.5351/ckss.2002.9.2.521","pdf_url":"http://koreascience.or.kr:80/article/JAKO200211921172940.pdf","source":{"id":"https://openalex.org/S2764911580","display_name":"Communications for Statistical Applications and Methods","issn_l":"1225-9500","issn":["1225-9500","2287-7843","2383-4757"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications for Statistical Applications and Methods","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5351/ckss.2002.9.2.521","doi":"https://doi.org/10.5351/ckss.2002.9.2.521","is_oa":true,"landing_page_url":"https://doi.org/10.5351/ckss.2002.9.2.521","pdf_url":"http://koreascience.or.kr:80/article/JAKO200211921172940.pdf","source":{"id":"https://openalex.org/S2764911580","display_name":"Communications for Statistical Applications and Methods","issn_l":"1225-9500","issn":["1225-9500","2287-7843","2383-4757"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4360969203","host_organization_name":"Korean Statistical Society","host_organization_lineage":["https://openalex.org/P4360969203"],"host_organization_lineage_names":["Korean Statistical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications for Statistical Applications and Methods","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W798247397.pdf"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1971220718","https://openalex.org/W1992129502","https://openalex.org/W1998613841","https://openalex.org/W4233620411"],"related_works":["https://openalex.org/W1508329094","https://openalex.org/W2038582120","https://openalex.org/W2021380410","https://openalex.org/W4237983622","https://openalex.org/W1979344365","https://openalex.org/W2028496831","https://openalex.org/W7207589764","https://openalex.org/W2040475342","https://openalex.org/W4400651255","https://openalex.org/W7099847520"],"abstract_inverted_index":{"Various":[0],"diagnostic":[1,106],"techniques":[2,19,45],"for":[3,69,86,133],"identifying":[4],"influential":[5,23,50,67,84,112,137,166],"observations":[6,24,85,113,138,167],"are":[7],"mostly":[8],"based":[9],"on":[10,95,114,139,168],"the":[11,48,134,160],"deletion":[12],"of":[13,35,52,55,89,99,117,136,142,171],"a":[14,53,70,87,96,105,115,125,140,169],"single":[15,71],"observation.":[16],"While":[17],"such":[18],"can":[20,61,129,158],"satisfactorily":[21],"identify":[22,165],"in":[25,73,145],"many":[26],"cases,":[27],"they":[28],"will":[29],"not":[30],"always":[31],"be":[32,62,130],"successful":[33],"because":[34],"some":[36],"mask":[37],"effect.":[38],"It":[39],"is":[40,79,152],"necessary,":[41],"therefore,":[42],"to":[43,64,82,154,164],"develop":[44],"that":[46],"examine":[47,65],"potentially":[49],"effects":[51],"subset":[54,88,98,116,141,170],"observations.":[56],"The":[57],"partial":[58],"regression":[59,90,118,143,172],"plots":[60],"used":[63,132],"an":[66],"observation":[68],"parameter":[72],"multiple":[74,146],"linear":[75,147],"regression.":[76,148],"However,":[77],"it":[78],"often":[80],"desirable":[81],"detect":[83],"parameters":[91,144],"when":[92],"interest":[93],"centers":[94],"selected":[97],"independent":[100],"variables.":[101],"Thus,":[102],"we":[103,123,157],"propose":[104,124],"measure":[107,126,162],"which":[108,128],"deals":[109],"with":[110],"detecting":[111],"parameters.":[119,173],"In":[120],"this":[121],"paper,":[122],"M,":[127],"effectively":[131],"detection":[135],"An":[149],"illustrated":[150],"example":[151],"given":[153],"show":[155],"how":[156],"use":[159],"new":[161],"M":[163]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
