{"id":"https://openalex.org/W3168842443","doi":"https://doi.org/10.1080/03610918.2021.1934021","title":"An extended Maxwell semiparametric regression for censored and uncensored data","display_name":"An extended Maxwell semiparametric regression for censored and uncensored data","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3168842443","doi":"https://doi.org/10.1080/03610918.2021.1934021","mag":"3168842443"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2021.1934021","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1934021","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/A5069803357","display_name":"F\u00e1bio Prataviera","orcid":"https://orcid.org/0000-0001-8190-1086"},"institutions":[{"id":"https://openalex.org/I163039527","display_name":"Universidade Metodista de S\u00e3o Paulo","ror":"https://ror.org/012mm7y56","country_code":"BR","type":"education","lineage":["https://openalex.org/I163039527"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e1bio Prataviera","raw_affiliation_strings":["ESALQ, Universidade de S\u00e3o Paulo","ESALQ, Universidade de S\u00e3o Paulo, Piracicaba, Brazil"],"affiliations":[{"raw_affiliation_string":"ESALQ, Universidade de S\u00e3o Paulo","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"ESALQ, Universidade de S\u00e3o Paulo, Piracicaba, Brazil","institution_ids":["https://openalex.org/I163039527","https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034344195","display_name":"Edwin M. M. Ortega","orcid":"https://orcid.org/0000-0003-3999-7402"},"institutions":[{"id":"https://openalex.org/I163039527","display_name":"Universidade Metodista de S\u00e3o Paulo","ror":"https://ror.org/012mm7y56","country_code":"BR","type":"education","lineage":["https://openalex.org/I163039527"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edwin M. M. Ortega","raw_affiliation_strings":["ESALQ, Universidade de S\u00e3o Paulo","ESALQ, Universidade de S\u00e3o Paulo, Piracicaba, Brazil"],"affiliations":[{"raw_affiliation_string":"ESALQ, Universidade de S\u00e3o Paulo","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"ESALQ, Universidade de S\u00e3o Paulo, Piracicaba, Brazil","institution_ids":["https://openalex.org/I163039527","https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011092077","display_name":"Gauss M. Cordeiro","orcid":"https://orcid.org/0000-0002-3052-6551"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gauss M. Cordeiro","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal de Pernambuco","Departamento de Estat\u00edstica, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Pernambuco","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011092077"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.696,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72025021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"52","issue":"7","first_page":"3305","last_page":"3326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9970999956130981,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9970999956130981,"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":0.9879999756813049,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semiparametric-regression","display_name":"Semiparametric regression","score":0.6305469274520874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5913123488426208},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5807865262031555},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.5484063625335693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5448903441429138},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5173367857933044},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.49709537625312805},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.47129905223846436},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4369457960128784},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.4190611243247986},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4131057858467102},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.39940986037254333}],"concepts":[{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.6305469274520874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5913123488426208},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5807865262031555},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.5484063625335693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5448903441429138},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5173367857933044},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.49709537625312805},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.47129905223846436},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4369457960128784},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.4190611243247986},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4131057858467102},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.39940986037254333},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2021.1934021","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1934021","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/16","score":0.550000011920929,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.49000000953674316,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1423766661","https://openalex.org/W1507444366","https://openalex.org/W1970133567","https://openalex.org/W1990433276","https://openalex.org/W2071646941","https://openalex.org/W2077423482","https://openalex.org/W2103038618","https://openalex.org/W2771352434","https://openalex.org/W2792247208","https://openalex.org/W2796514099","https://openalex.org/W3015737764","https://openalex.org/W3038636778","https://openalex.org/W3043924313","https://openalex.org/W3093706737","https://openalex.org/W3112717819","https://openalex.org/W4212795661","https://openalex.org/W4241468802","https://openalex.org/W4244939071","https://openalex.org/W4254229744"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W3014605311","https://openalex.org/W2364275385","https://openalex.org/W4318833145","https://openalex.org/W4388704167","https://openalex.org/W2224749288","https://openalex.org/W4252013513"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"semiparametric":[3],"regression":[4,32,64],"defined":[5],"from":[6],"the":[7,14,54,57,62],"generalized":[8],"odd":[9],"log-logistic":[10],"Maxwell":[11],"distribution":[12],"under":[13],"cubic":[15],"spline":[16],"with":[17],"linear":[18],"and":[19,24,41],"nonlinear":[20],"effects":[21],"for":[22,30],"censored":[23],"uncensored":[25],"data.":[26,74],"The":[27,59],"parameter":[28],"estimates":[29],"this":[31],"are":[33,44],"determined":[34],"using":[35],"penalized":[36],"likelihood.":[37],"Global":[38],"influence":[39],"diagnostics":[40],"quantile":[42],"residuals":[43],"addressed":[45],"in":[46],"new":[47,63],"standards.":[48],"Several":[49],"Monte":[50],"Carlo":[51],"simulations":[52],"investigate":[53],"consistency":[55],"of":[56,61,69],"estimates.":[58],"usefulness":[60],"is":[65],"illustrated":[66],"by":[67],"means":[68],"two":[70],"applications":[71],"to":[72],"real":[73]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-02-08T09:19:03.324500","created_date":"2025-10-10T00:00:00"}