{"id":"https://openalex.org/W3137086602","doi":null,"title":"The Bias Correction of Multiple Linear Regression Parameter Estimators with Residual Bootstrap Method","display_name":"The Bias Correction of Multiple Linear Regression Parameter Estimators with Residual Bootstrap Method","publication_year":2017,"publication_date":"2017-11-09","ids":{"openalex":"https://openalex.org/W3137086602","mag":"3137086602"},"language":"en","primary_location":{"id":"mag:3137086602","doi":null,"is_oa":true,"landing_page_url":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3234733","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3234733","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058611812","display_name":"Elmanani Simamora","orcid":"https://orcid.org/0000-0002-0409-349X","observed_orcids":["https://orcid.org/0000-0002-0409-349X"]},"institutions":[{"id":"https://openalex.org/I203089679","display_name":"State University of Medan","ror":"https://ror.org/022gvg072","country_code":"ID","type":"education","lineage":["https://openalex.org/I203089679"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Elmanani Simamora","raw_affiliation_strings":["Universitas NegerI medan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas NegerI medan","institution_ids":["https://openalex.org/I203089679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037251753","display_name":"Eri Widyastuti","orcid":"https://orcid.org/0009-0007-0916-0464","observed_orcids":["https://orcid.org/0009-0007-0916-0464"]},"institutions":[{"id":"https://openalex.org/I203089679","display_name":"State University of Medan","ror":"https://ror.org/022gvg072","country_code":"ID","type":"education","lineage":["https://openalex.org/I203089679"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eri Widyastuti","raw_affiliation_strings":["state university of medan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"state university of medan","institution_ids":["https://openalex.org/I203089679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038173468","display_name":"Susiana Susiana","orcid":"https://orcid.org/0000-0002-6792-0069","observed_orcids":["https://orcid.org/0000-0002-6792-0069"]},"institutions":[{"id":"https://openalex.org/I203089679","display_name":"State University of Medan","ror":"https://ror.org/022gvg072","country_code":"ID","type":"education","lineage":["https://openalex.org/I203089679"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Susiana Susiana","raw_affiliation_strings":["state university of medan"],"raw_orcid":"https://orcid.org/0000-0002-6792-0069","affiliations":[{"raw_affiliation_string":"state university of medan","institution_ids":["https://openalex.org/I203089679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203089679"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0007999999797903001,"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"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.00019999999494757503,"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/multiple-linear-regression","display_name":"multiple linear regression","score":0.9259999990463257},{"id":"https://openalex.org/keywords/bias-correction","display_name":"bias correction","score":0.843999981880188},{"id":"https://openalex.org/keywords/residual-bootstrap","display_name":"residual bootstrap","score":0.9860000014305115},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.6370000243186951},{"id":"https://openalex.org/keywords/outliers","display_name":"outliers","score":0.8690000176429749},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"ordinary least squares","score":0.6779999732971191}],"concepts":[{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.8049677014350891},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.71128249168396},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6789970397949219},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6591371297836304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6380344033241272},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6275796890258789},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6237245202064514},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6086204051971436},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.5203911066055298},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48884743452072144},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44067680835723877},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.436327189207077},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.41935184597969055},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.41139766573905945},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.381704717874527},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.23550084233283997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09362903237342834},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07321348786354065},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3137086602","doi":null,"is_oa":true,"landing_page_url":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3234733","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null}],"best_oa_location":{"id":"mag:3137086602","doi":null,"is_oa":true,"landing_page_url":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3234733","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSRN Electronic Journal","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1521790859","https://openalex.org/W2185454723","https://openalex.org/W4411788216","https://openalex.org/W3098530069","https://openalex.org/W3091820117","https://openalex.org/W4247663031","https://openalex.org/W1974971136","https://openalex.org/W2166037043","https://openalex.org/W4307747686","https://openalex.org/W2972985039"],"abstract_inverted_index":{"Statistical":[0],"analysis":[1],"aims":[2],"to":[3,31,70,140],"analyze":[4],"the":[5,17,48,56,61,92,96,101,108,114,132,141],"relationship":[6],"between":[7],"dependent":[8],"variable":[9],"with":[10],"two":[11],"or":[12],"more":[13,138],"independent":[14],"variables":[15],"in":[16],"linear":[18,23,36],"parameters":[19,33],"model":[20],"called":[21],"multiple":[22,35],"regression":[24,37],"analysis.":[25],"One":[26],"method":[27,44,62],"can":[28,77,103,112],"be":[29,51,71,78,105],"used":[30],"estimate":[32],"of":[34,45,63,68,107],"using":[38,81],"Ordinary":[39,134],"Least":[40,135],"Squares":[41,136],"(OLS).":[42],"The":[43,73,84,98,117],"OLS":[46,64,69],"assumes":[47],"sample":[49,57,102,109,115,126],"must":[50],"normally":[52],"distributed,":[53],"where":[54],"if":[55],"has":[58],"outlier":[59],"so":[60],"gives":[65],"parameter":[66,128],"estimators":[67,129],"biased.":[72],"bias":[74],"that":[75],"occur":[76],"reduced":[79],"by":[80,88],"residual":[82,85,93],"bootstrap.":[83],"bootstrap":[86,125],"works":[87],"resampling":[89],"on":[90,100,131],"based":[91,130],"obtained":[94],"from":[95],"sample.":[97],"outliers":[99],"not":[104],"removed":[106],"because":[110],"it":[111],"damage":[113],"characteristics.":[116],"simulation":[118],"results":[119],"show":[120],"for":[121],"a":[122],"relatively":[123],"large":[124],"giving":[127],"Bootstrap":[133],"(BOLS)":[137],"closely":[139],"actual":[142],"parameters.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2021-03-29T00:00:00"}
