{"id":"https://openalex.org/W4388500101","doi":"https://doi.org/10.1080/03610918.2023.2277658","title":"A flexible partially linear regression with random effects for bimodal data with application in postharvest","display_name":"A flexible partially linear regression with random effects for bimodal data with application in postharvest","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388500101","doi":"https://doi.org/10.1080/03610918.2023.2277658"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2277658","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2277658","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/A5058455376","display_name":"Julio Cezar Souza Vasconcelos","orcid":"https://orcid.org/0000-0001-6794-3175"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Julio C. S. Vasconcelos","raw_affiliation_strings":["Institute of Science and Technology, Federal University of S\u00e3o Paulo","Institute of Science and Technology, Federal University of S\u00e3o Paulo, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology, Federal University of S\u00e3o Paulo","institution_ids":["https://openalex.org/I88273585"]},{"raw_affiliation_string":"Institute of Science and Technology, Federal University of S\u00e3o Paulo, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"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/I4210107917","display_name":"Exact Sciences (United States)","ror":"https://ror.org/01kc31v38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107917"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Edwin M. M. Ortega","raw_affiliation_strings":["Department of Exact Sciences, University of S\u00e3o Paulo","Department of Exact Sciences, University of S\u00e3o Paulo, Piracicaba, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Exact Sciences, University of S\u00e3o Paulo","institution_ids":["https://openalex.org/I4210107917"]},{"raw_affiliation_string":"Department of Exact Sciences, University of S\u00e3o Paulo, Piracicaba, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067119380","display_name":"Ricardo Alfredo Kluge","orcid":"https://orcid.org/0000-0002-6198-8871"},"institutions":[{"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":"Ricardo A. Kluge","raw_affiliation_strings":["Department of Biological Sciences, University of S\u00e3o Paulo","Department of Biological Sciences, University of S\u00e3o Paulo, Piracicaba, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, University of S\u00e3o Paulo","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Department of Biological Sciences, University of S\u00e3o Paulo, Piracicaba, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","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":false,"raw_author_name":"Gauss M. Cordeiro","raw_affiliation_strings":["Department of Statistics, Federal University of Pernambuco","Department of Statistics, Federal University of Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Federal University of Pernambuco","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Department of Statistics, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","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, University of Brasilia","Department of Statistics, University of Brasilia, Brasilia, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Brasilia","institution_ids":["https://openalex.org/I150729083"]},{"raw_affiliation_string":"Department of Statistics, University of Brasilia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058455376"],"corresponding_institution_ids":["https://openalex.org/I88273585"],"apc_list":null,"apc_paid":null,"fwci":0.2547,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60661539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"54","issue":"4","first_page":"1205","last_page":"1226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10650","display_name":"Food Drying and Modeling","score":0.9283000230789185,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/postharvest","display_name":"Postharvest","score":0.853805661201477},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.6550660729408264},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6489107608795166},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5829110145568848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.534639835357666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5190163850784302},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4837493896484375},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4734111428260803},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.43019503355026245},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.41810423135757446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3525915741920471},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3458701968193054},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.28243154287338257},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07178467512130737}],"concepts":[{"id":"https://openalex.org/C157670687","wikidata":"https://www.wikidata.org/wiki/Q426933","display_name":"Postharvest","level":2,"score":0.853805661201477},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6550660729408264},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6489107608795166},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5829110145568848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.534639835357666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5190163850784302},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4837493896484375},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4734111428260803},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.43019503355026245},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.41810423135757446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3525915741920471},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3458701968193054},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.28243154287338257},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07178467512130737},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2277658","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2277658","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":[{"display_name":"Zero hunger","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1507444366","https://openalex.org/W1901919421","https://openalex.org/W2045519606","https://openalex.org/W2154065358","https://openalex.org/W2202703316","https://openalex.org/W2232585200","https://openalex.org/W2493921719","https://openalex.org/W2512982363","https://openalex.org/W2513212011","https://openalex.org/W2529225692","https://openalex.org/W2582743722","https://openalex.org/W2744265955","https://openalex.org/W2750795719","https://openalex.org/W2911958369","https://openalex.org/W2964187429","https://openalex.org/W3038636778","https://openalex.org/W3048212011","https://openalex.org/W3206382709","https://openalex.org/W4221114400","https://openalex.org/W4241468802","https://openalex.org/W4254229744","https://openalex.org/W4301441647","https://openalex.org/W7038906009"],"related_works":["https://openalex.org/W3093365844","https://openalex.org/W4311364185","https://openalex.org/W4309298396","https://openalex.org/W2359727656","https://openalex.org/W2023948527","https://openalex.org/W1572348857","https://openalex.org/W2356254167","https://openalex.org/W4230983264","https://openalex.org/W4200124026","https://openalex.org/W4386173010"],"abstract_inverted_index":{"In":[0,38],"the":[1,16,28,40,53,79,94,99,119,126,135,144,151,163],"postharvest":[2,70,171],"area":[3],"of":[4,30,55,88,98,109,125],"agricultural":[5],"products,":[6],"it":[7,158],"is":[8,34,58,76,166],"common":[9],"to":[10,59,150],"have":[11,44],"data":[12,41],"sets":[13],"in":[14,19,51,143],"which":[15],"dependent":[17],"variable":[18],"general":[20],"may":[21],"not":[22,35],"be":[23,160],"symmetrical":[24],"and":[25,96,132,154],"unimodal,":[26],"therefore,":[27],"use":[29],"usual":[31],"regression":[32,64,75,112],"models":[33],"always":[36],"appropriate.":[37],"addition,":[39],"can":[42,138,159],"also":[43],"repeated":[45],"measurements":[46],"over":[47],"time.":[48],"With":[49],"this":[50,56,73,89],"mind,":[52],"aim":[54],"article":[57],"propose":[60],"a":[61,101,140,167],"partially":[62,110],"linear":[63,111],"model":[65,128,152,165],"with":[66,113],"random":[67,114],"effects":[68,115],"for":[69,170],"bimodal":[71],"data,":[72,172],"extended":[74],"based":[77],"on":[78],"Birnbaum\u2013Saunders":[80],"distribution.":[81],"Additionally":[82],"we":[83],"present":[84],"different":[85],"mathematical":[86],"properties":[87],"new":[90],"model.":[91],"To":[92],"verify":[93],"impartiality":[95],"accuracy":[97],"estimators,":[100],"simulation":[102],"study":[103],"was":[104],"carried":[105],"out.":[106],"The":[107,123],"parameters":[108],"are":[116,129],"estimated":[117],"using":[118],"penalized":[120],"maximum":[121],"likelihood.":[122],"results":[124],"developed":[127],"presented":[130],"empirically":[131],"indicate":[133],"that":[134,162],"storage":[136],"temperature":[137],"cause":[139],"significant":[141],"change":[142],"lychee's":[145],"respiratory":[146],"metabolism.":[147],"Thus,":[148],"according":[149],"selection":[153],"residue":[155],"analysis":[156],"measures,":[157],"concluded":[161],"proposed":[164],"statistical":[168],"tool":[169],"providing":[173],"an":[174],"adequate":[175],"analysis.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
