{"id":"https://openalex.org/W1601027032","doi":"https://doi.org/10.1007/978-3-642-57489-4_1","title":"An Implementation for Regression Quantile Estimation","display_name":"An Implementation for Regression Quantile Estimation","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1601027032","doi":"https://doi.org/10.1007/978-3-642-57489-4_1","mag":"1601027032"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_1","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","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/A5012500293","display_name":"Thomas W. Yee","orcid":"https://orcid.org/0000-0002-9970-3907"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Thomas W. Yee","raw_affiliation_strings":["Department of Statistics, University of Auckland, Private Bag 92019, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Auckland, Private Bag 92019, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012500293"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":1.0761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78507079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9175999760627747,"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":0.9175999760627747,"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/quantile-regression","display_name":"Quantile regression","score":0.7357364296913147},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6034700274467468},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5371025800704956},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5113098621368408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4988133907318115},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4963698983192444},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.4499713182449341},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4418552815914154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.428924024105072},{"id":"https://openalex.org/keywords/data-transformation","display_name":"Data transformation","score":0.42046573758125305},{"id":"https://openalex.org/keywords/power-transform","display_name":"Power transform","score":0.4132267236709595},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39134734869003296},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32809221744537354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2577430009841919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25206804275512695},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14939680695533752}],"concepts":[{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.7357364296913147},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6034700274467468},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5371025800704956},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5113098621368408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4988133907318115},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4963698983192444},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.4499713182449341},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4418552815914154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.428924024105072},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.42046573758125305},{"id":"https://openalex.org/C208788","wikidata":"https://www.wikidata.org/wiki/Q895499","display_name":"Power transform","level":3,"score":0.4132267236709595},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39134734869003296},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32809221744537354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2577430009841919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25206804275512695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14939680695533752},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-57489-4_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_1","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W53657057","https://openalex.org/W189115285","https://openalex.org/W1501835916","https://openalex.org/W1589635113","https://openalex.org/W1975032496","https://openalex.org/W1988945391","https://openalex.org/W1996786220","https://openalex.org/W2006487405","https://openalex.org/W2010295655","https://openalex.org/W2065277768","https://openalex.org/W2065540158","https://openalex.org/W2082137964","https://openalex.org/W2087573985","https://openalex.org/W2134606995","https://openalex.org/W2136326182","https://openalex.org/W2319416538","https://openalex.org/W4241996101","https://openalex.org/W4244084561","https://openalex.org/W6602137461"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W2121449171","https://openalex.org/W2372260056"],"abstract_inverted_index":{"Of":[0],"the":[1,15,42,48,87,98,106,118,124,127],"many":[2],"methods":[3],"that":[4,108],"have":[5],"been":[6],"developed":[7],"for":[8,37,111],"quantile":[9],"regression":[10],"(Wright":[11],"and":[12,19,28,71,100,114,130,134],"Royston,":[13],"1997)":[14],"LMS":[16,128],"method":[17,95,129],"(Cole":[18],"Green,":[20],"1992)":[21],"can":[22],"be":[23],"easily":[24],"understood,":[25],"is":[26,35,50,73],"flexible":[27],"based":[29,96],"on":[30,97],"splines.":[31],"The":[32,56],"basic":[33],"idea":[34],"that,":[36],"a":[38,44,63,77,83,93,139],"fixed":[39],"value":[40],"of":[41,47],"covariate,":[43],"Box-Cox":[45],"transformation":[46],"response":[49],"applied":[51],"to":[52,61,74,76],"obtain":[53],"standard":[54],"normality.":[55],"three":[57],"parameters":[58],"are":[59,132],"chosen":[60],"maximize":[62],"penalized":[64],"log-likelihood.":[65],"One":[66],"unpublished":[67],"extension":[68],"by":[69,123],"Lopatatzidis":[70],"Green":[72],"transform":[75],"gamma":[78],"distribution,":[79],"which":[80],"helps":[81],"overcome":[82],"range-restriction":[84],"problem":[85],"in":[86,117],"original":[88],"formulation.":[89],"This":[90],"paper":[91],"proposes":[92],"new":[94],"Yeo":[99],"Johnson":[101],"(2000)":[102],"transformation.":[103],"It":[104],"has":[105],"advantage":[107],"it":[109],"allows":[110],"both":[112],"positive":[113],"negative":[115],"values":[116],"response.":[119],"R/S-PLUS":[120],"software":[121],"written":[122],"author":[125],"implementing":[126],"variants":[131],"described":[133],"illustrated":[135],"with":[136],"data":[137],"from":[138],"New":[140],"Zealand":[141],"workforce":[142],"study.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}