{"id":"https://openalex.org/W24414653","doi":null,"title":"Data mining tasks and methods: Equation fitting: multidimensional regression analysis","display_name":"Data mining tasks and methods: Equation fitting: multidimensional regression analysis","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W24414653","mag":"24414653"},"language":"en","primary_location":{"id":"mag:24414653","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=778212.778270","pdf_url":null,"source":{"id":"https://openalex.org/S4306463708","display_name":"Oxford University Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"ebook platform"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Oxford University Press eBooks","raw_type":null},"volume":null,"type":"book","is_traditional":true,"indexed_in":[],"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/A5060541476","display_name":"J. Sunil Rao","orcid":"https://orcid.org/0000-0002-6450-3200","observed_orcids":["https://orcid.org/0000-0002-6450-3200"]},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Sunil Rao","raw_affiliation_strings":["Assistant Professor of Biostatistics, Case Western Reserve University, Cleveland, Ohio#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-6450-3200","affiliations":[{"raw_affiliation_string":"Assistant Professor of Biostatistics, Case Western Reserve University, Cleveland, Ohio#TAB#","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":null,"display_name":"William John Potts","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William John Potts","raw_affiliation_strings":["SAS Institute , Cary , North Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SAS Institute , Cary , North Carolina","institution_ids":["https://openalex.org/I122754148"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0026455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.8925999999046326,"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/T13141","display_name":"Statistical Methods and Applications","score":0.8925999999046326,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.06589999794960022,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.006800000090152025,"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/multidimensional-regression","display_name":"multidimensional regression","score":0.8759999871253967},{"id":"https://openalex.org/keywords/linear-regression","display_name":"linear regression","score":0.7089999914169312},{"id":"https://openalex.org/keywords/generalized-linear-models","display_name":"generalized linear models","score":0.8730000257492065},{"id":"https://openalex.org/keywords/generalized-additive-models","display_name":"generalized additive models","score":0.9980000257492065},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"nonparametric regression","score":0.699999988079071},{"id":"https://openalex.org/keywords/link-functions","display_name":"link functions","score":0.8230000138282776},{"id":"https://openalex.org/keywords/model-fitting-algorithms","display_name":"model fitting algorithms","score":0.9330000281333923},{"id":"https://openalex.org/keywords/database-marketing","display_name":"database marketing","score":0.9229999780654907}],"concepts":[{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.6253044605255127},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.5751422643661499},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5311989188194275},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5064092874526978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4999101161956787},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.49973583221435547},{"id":"https://openalex.org/C169191187","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional analysis","level":2,"score":0.4724215269088745},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4621276557445526},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.4584195017814636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4458179175853729},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43812280893325806},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.43455806374549866},{"id":"https://openalex.org/C70519679","wikidata":"https://www.wikidata.org/wiki/Q6666755","display_name":"Log-linear model","level":3,"score":0.42356956005096436},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4199833869934082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4105365574359894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.376031756401062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36065396666526794},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35796546936035156},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.17936626076698303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10859382152557373},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:24414653","doi":null,"is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=778212.778270","pdf_url":null,"source":{"id":"https://openalex.org/S4306463708","display_name":"Oxford University Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"ebook platform"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Oxford University Press eBooks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1528905581","https://openalex.org/W1999058847","https://openalex.org/W2016672995","https://openalex.org/W2034562813","https://openalex.org/W2040615655","https://openalex.org/W2041655977","https://openalex.org/W2060050130","https://openalex.org/W2093906478","https://openalex.org/W2117812871","https://openalex.org/W2139122730","https://openalex.org/W2795536332","https://openalex.org/W2797583072","https://openalex.org/W4249991467"],"related_works":["https://openalex.org/W2929482258","https://openalex.org/W2605455224","https://openalex.org/W4210363237","https://openalex.org/W65354313","https://openalex.org/W2372118350","https://openalex.org/W7100649955","https://openalex.org/W4248482261","https://openalex.org/W7058218212","https://openalex.org/W7125162242","https://openalex.org/W103871769"],"abstract_inverted_index":{"Multidimensional":[0],"regression":[1,81],"analysis":[2],"relates":[3],"a":[4,9,15,33,38],"target":[5],"outcome":[6],"Y":[7],"to":[8],"vector":[10],"of":[11,17,25,79],"predictors":[12,28],"X":[13],"through":[14],"variety":[16],"possible":[18],"link":[19],"functions":[20],"depending":[21],"on":[22,46],"the":[23,47,51,77],"distribution":[24],"Y.":[26],"The":[27],"may":[29],"be":[30],"used":[31],"in":[32],"linear":[34,53,56],"fashion":[35],"or":[36],"given":[37],"more":[39],"data-driven":[40],"nonparametric":[41],"functional":[42],"form.":[43],"These":[44],"variations":[45],"modeling":[48],"paradigm":[49],"cover":[50],"standard":[52],"model,":[54,57],"generalized":[55,59],"and":[58,67],"additive":[60],"model.":[61],"This":[62],"article":[63],"details":[64],"these":[65],"connections":[66],"provides":[68],"algorithms":[69],"for":[70],"model":[71],"fitting.":[72],"A":[73],"database-marketing":[74],"example":[75],"illustrates":[76],"use":[78],"multidimensional":[80],"models.":[82]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}