{"id":"https://openalex.org/W4403172061","doi":"https://doi.org/10.3390/sym16101315","title":"Bivariate Log-Symmetric Regression Models Applied to Newborn Data","display_name":"Bivariate Log-Symmetric Regression Models Applied to Newborn Data","publication_year":2024,"publication_date":"2024-10-05","ids":{"openalex":"https://openalex.org/W4403172061","doi":"https://doi.org/10.3390/sym16101315"},"language":"en","primary_location":{"id":"doi:10.3390/sym16101315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101315","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1315/pdf?version=1728118024","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/10/1315/pdf?version=1728118024","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006204288","display_name":"Helton Saulo","orcid":"https://orcid.org/0000-0002-4467-8652"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]},{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Helton Saulo","raw_affiliation_strings":["Department of Economics, Federal University of Pelotas, Pelotas 96010-610, Brazil","Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4467-8652","affiliations":[{"raw_affiliation_string":"Department of Economics, Federal University of Pelotas, Pelotas 96010-610, Brazil","institution_ids":["https://openalex.org/I169248161"]},{"raw_affiliation_string":"Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082494780","display_name":"Roberto Vila","orcid":"https://orcid.org/0000-0003-1073-0114"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roberto Vila","raw_affiliation_strings":["Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1073-0114","affiliations":[{"raw_affiliation_string":"Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025688730","display_name":"Rubens Souza","orcid":"https://orcid.org/0000-0002-1854-5805"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rubens Souza","raw_affiliation_strings":["Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-1854-5805","affiliations":[{"raw_affiliation_string":"Department of Statistics, Universidade de Bras\u00edlia, Bras\u00edlia 70910-900, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006204288"],"corresponding_institution_ids":["https://openalex.org/I150729083","https://openalex.org/I169248161"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.4989,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68048429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":"10","first_page":"1315","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9634000062942505,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9634000062942505,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9484999775886536,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9465000033378601,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.770156979560852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6265491247177124},{"id":"https://openalex.org/keywords/bivariate-data","display_name":"Bivariate data","score":0.5531960129737854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5419178605079651},{"id":"https://openalex.org/keywords/log-normal-distribution","display_name":"Log-normal distribution","score":0.5405840277671814},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5209685564041138},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4442155659198761},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35096949338912964}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.770156979560852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6265491247177124},{"id":"https://openalex.org/C148264743","wikidata":"https://www.wikidata.org/wiki/Q4919224","display_name":"Bivariate data","level":3,"score":0.5531960129737854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5419178605079651},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.5405840277671814},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5209685564041138},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4442155659198761},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35096949338912964}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym16101315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101315","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1315/pdf?version=1728118024","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2c616f891796486da2f1a330a21d2f0e","is_oa":false,"landing_page_url":"https://doaj.org/article/2c616f891796486da2f1a330a21d2f0e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 10, p 1315 (2024)","raw_type":"article"},{"id":"pmh:oai:repositorio.unb.br:10482/53326","is_oa":false,"landing_page_url":"https://doi.org/10.3390/sym16101315.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196379","display_name":"RIUnB Institutional Repository (University of Bras\u00edlia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150729083","host_organization_name":"Universidade de Bras\u00edlia","host_organization_lineage":["https://openalex.org/I150729083"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Artigo"}],"best_oa_location":{"id":"doi:10.3390/sym16101315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101315","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1315/pdf?version=1728118024","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G729063888","display_name":null,"funder_award_id":"309674/2020\u20104","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G901198342","display_name":null,"funder_award_id":"304716/2023\u20105","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323350","display_name":"Funda\u00e7\u00e3o de Apoio \u00e0 Pesquisa do Distrito Federal","ror":"https://ror.org/04djvx395"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403172061.pdf","grobid_xml":"https://content.openalex.org/works/W4403172061.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W41409100","https://openalex.org/W1973761476","https://openalex.org/W2008802354","https://openalex.org/W2067342226","https://openalex.org/W2071929823","https://openalex.org/W2081269474","https://openalex.org/W2113606273","https://openalex.org/W2325468794","https://openalex.org/W2342432233","https://openalex.org/W2524449277","https://openalex.org/W2550507106","https://openalex.org/W2887402952","https://openalex.org/W2947153148","https://openalex.org/W2955875948","https://openalex.org/W3118640222","https://openalex.org/W3146838880","https://openalex.org/W3159418771","https://openalex.org/W4213070268","https://openalex.org/W4300246981","https://openalex.org/W4377938913","https://openalex.org/W4388932927","https://openalex.org/W4401467919","https://openalex.org/W6753742207"],"related_works":["https://openalex.org/W4232399475","https://openalex.org/W2474319518","https://openalex.org/W89977309","https://openalex.org/W1575790908","https://openalex.org/W3122841410","https://openalex.org/W4447228","https://openalex.org/W2901858382","https://openalex.org/W2150332776","https://openalex.org/W4247082354","https://openalex.org/W1887515435"],"abstract_inverted_index":{"This":[0,125],"paper":[1],"introduces":[2],"bivariate":[3,26,102,143],"log-symmetric":[4,17,43,103],"models":[5,20,99,145,156],"for":[6,30,67,148,159],"analyzing":[7],"the":[8,25,40,112,149,153],"relationship":[9],"between":[10],"two":[11],"variables,":[12],"assuming":[13],"a":[14,91,128],"family":[15,45],"of":[16,33,93,130,133],"distributions.":[18],"These":[19],"offer":[21],"greater":[22],"flexibility":[23],"than":[24],"lognormal":[27],"distribution,":[28],"allowing":[29],"better":[31],"representation":[32],"diverse":[34],"distribution":[35,44],"shapes":[36],"and":[37,53,60,82,122,161],"behaviors":[38],"in":[39,49,85,111,152],"data.":[41,154],"The":[42],"is":[46],"widely":[47],"used":[48,117],"various":[50,139],"scientific":[51],"fields":[52],"includes":[54],"distributions":[55],"such":[56],"as":[57],"log-normal,":[58],"log-Student-t,":[59],"log-Laplace,":[61],"among":[62],"others,":[63],"providing":[64],"several":[65],"options":[66],"modeling":[68],"different":[69],"data":[70],"types.":[71],"However,":[72],"there":[73],"are":[74,116,157],"few":[75],"approaches":[76],"to":[77,106,118,135,146],"jointly":[78],"model":[79,96],"continuous":[80],"positive":[81],"explanatory":[83],"variables":[84],"regression":[86,98,144],"analysis.":[87],"Therefore,":[88],"we":[89],"propose":[90],"class":[92],"generalized":[94],"linear":[95],"(GLM)":[97],"based":[100],"on":[101],"distributions,":[104],"aiming":[105],"fill":[107],"this":[108],"gap.":[109],"Furthermore,":[110],"proposed":[113],"model,":[114],"covariates":[115],"describe":[119],"its":[120],"dispersion":[121],"correlation":[123],"parameters.":[124],"study":[126],"uses":[127],"dataset":[129],"anthropometric":[131],"measurements":[132],"newborns":[134],"correlate":[136],"them":[137],"with":[138],"biological":[140],"factors,":[141],"proposing":[142],"account":[147],"relationships":[150],"observed":[151],"Such":[155],"crucial":[158],"preventing":[160],"controlling":[162],"public":[163],"health":[164],"issues.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}