{"id":"https://openalex.org/W2016433932","doi":"https://doi.org/10.1080/03610910903180640","title":"Comparing Robust Measures of Association Estimated Via a Smoother","display_name":"Comparing Robust Measures of Association Estimated Via a Smoother","publication_year":2009,"publication_date":"2009-09-11","ids":{"openalex":"https://openalex.org/W2016433932","doi":"https://doi.org/10.1080/03610910903180640","mag":"2016433932"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903180640","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903180640","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/A5074064506","display_name":"Rand R. Wilcox","orcid":"https://orcid.org/0000-0002-2524-2976"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rand R. Wilcox","raw_affiliation_strings":["Department of Psychology , University of Southern California , Los Angeles , California , USA","Department of Psychology , University of Southern California , Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"Department of Psychology , University of Southern California , Los Angeles , California , USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Psychology , University of Southern California , Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074064506"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.5654,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68646783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"38","issue":"9","first_page":"1969","last_page":"1979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991999864578247,"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":0.9991999864578247,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9787999987602234,"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":0.9585000276565552,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.68071448802948},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.6316182613372803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.625852644443512},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.6125799417495728},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6114861965179443},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.49113962054252625},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.46865028142929077},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.467744380235672},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.44668304920196533},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.42637547850608826},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4209524393081665},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.4176608920097351},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.41028666496276855},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4067533612251282},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.27921679615974426}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.68071448802948},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.6316182613372803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.625852644443512},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.6125799417495728},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6114861965179443},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.49113962054252625},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.46865028142929077},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.467744380235672},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.44668304920196533},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.42637547850608826},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4209524393081665},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.4176608920097351},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.41028666496276855},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4067533612251282},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.27921679615974426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910903180640","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903180640","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W102279446","https://openalex.org/W200887292","https://openalex.org/W212809478","https://openalex.org/W1484867920","https://openalex.org/W1564436890","https://openalex.org/W1589710032","https://openalex.org/W1966359789","https://openalex.org/W1981282852","https://openalex.org/W2018764772","https://openalex.org/W2024081693","https://openalex.org/W2027244596","https://openalex.org/W2030351330","https://openalex.org/W2043903500","https://openalex.org/W2044999452","https://openalex.org/W2050684539","https://openalex.org/W2074066384","https://openalex.org/W2100097431","https://openalex.org/W2103038618","https://openalex.org/W2135874888","https://openalex.org/W2145157761","https://openalex.org/W2329341088","https://openalex.org/W2489822048","https://openalex.org/W2797463641","https://openalex.org/W2797583072","https://openalex.org/W2801725852","https://openalex.org/W3106889297","https://openalex.org/W3124045164","https://openalex.org/W4206419526","https://openalex.org/W4242617520","https://openalex.org/W4244313837","https://openalex.org/W4249303080","https://openalex.org/W4299655675","https://openalex.org/W4300940930","https://openalex.org/W4302599714"],"related_works":["https://openalex.org/W2127063836","https://openalex.org/W2006385744","https://openalex.org/W3000904183","https://openalex.org/W2001255261","https://openalex.org/W4389575561","https://openalex.org/W2274778397","https://openalex.org/W2589006171","https://openalex.org/W3003994871","https://openalex.org/W4307508674","https://openalex.org/W4235679112"],"abstract_inverted_index":{"A":[0],"classic":[1],"problem":[2],"is":[3,20,50,62,73,131,134,156],"comparing":[4,81],"Pearson's":[5,82,183],"correlation":[6,184],"corresponding":[7],"to":[8,21,80,165,175,187],"two":[9],"independent":[10],"groups.":[11],"The":[12],"article":[13],"examines":[14],"a":[15,27,37,137,166,170],"generalization":[16],"where":[17],"the":[18,23,46,53,65,70,75,88,109,153,158,161,176],"goal":[19],"compare":[22],"groups":[24],"based":[25],"on":[26],"robust":[28,172],"variation":[29,167],"of":[30,108,123,160,195],"explanatory":[31,60],"power":[32,61,159],"used":[33,77],"in":[34,87,149,193],"conjunction":[35],"with":[36,64],"particular":[38],"nonparametric":[39,47],"regression":[40,48,71,102,154,173],"method":[41,141,162],"that":[42,136,168],"allows":[43],"curvature.":[44],"If":[45],"estimator":[49,130],"replaced":[51],"by":[52],"ordinary":[54],"least":[55],"squares":[56],"estimator,":[57],"and":[58,68,103],"if":[59,69],"measured":[63],"usual":[66],"variance,":[67],"line":[72,155,174],"straight,":[74,157],"approach":[76],"here":[78],"reduces":[79],"correlation.":[83],"For":[84],"reasons":[85],"summarized":[86],"article,":[89],"Cleveland's":[90],"(1979":[91],"Cleveland":[92],",":[93,126],"W.":[94],"S.":[95],"(":[96],"1979":[97],").":[98],"Robust":[99],"locally":[100],"weighted":[101],"smoothing":[104],"scatterplots":[105],".":[106],"Journal":[107],"American":[110],"Statistical":[111],"Association":[112],"74":[113],":":[114],"829":[115],"\u2013":[116],"836":[117],".[Taylor":[118],"&":[119],"Francis":[120],"Online],":[121],"[Web":[122],"Science":[124],"\u00ae]":[125],"[Google":[127],"Scholar])":[128],"lowess":[129],"used.":[132],"It":[133],"found":[135,186],"modified":[138],"percentile":[139],"bootstrap":[140],"controls":[142],"Type":[143],"I":[144],"error":[145],"probabilities":[146],"reasonably":[147],"well":[148,164],"simulations.":[150],"Even":[151],"when":[152],"compares":[163],"fits":[169],"(straight)":[171],"data.":[177],"And":[178],"even":[179],"under":[180],"normality,":[181],"using":[182],"was":[185],"provide":[188],"little":[189],"or":[190],"no":[191],"advantage":[192],"terms":[194],"power.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
