{"id":"https://openalex.org/W2005543050","doi":"https://doi.org/10.1007/s00180-007-0034-3","title":"An empirical study of PLAD regression using the bootstrap","display_name":"An empirical study of PLAD regression using the bootstrap","publication_year":2007,"publication_date":"2007-02-23","ids":{"openalex":"https://openalex.org/W2005543050","doi":"https://doi.org/10.1007/s00180-007-0034-3","mag":"2005543050"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-007-0034-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-007-0034-3","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","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/A5085483772","display_name":"Athanassios Kondylis","orcid":null},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Athanassios Kondylis","raw_affiliation_strings":["Statistical Institute, University of Neuch\u00e2tel, Neuch\u00e2tel, Switzerland","Statistical Institute, University of Neuch\u00e2tel, Neuch\u00e2tel, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Statistical Institute, University of Neuch\u00e2tel, Neuch\u00e2tel, Switzerland","institution_ids":["https://openalex.org/I57825437"]},{"raw_affiliation_string":"Statistical Institute, University of Neuch\u00e2tel, Neuch\u00e2tel, Switzerland#TAB#","institution_ids":["https://openalex.org/I57825437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022566641","display_name":"Joe Whittaker","orcid":"https://orcid.org/0000-0001-7342-6369"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joe Whittaker","raw_affiliation_strings":["Department of Mathematics and Statistics, Lancaster University, Lancaster, England"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Lancaster University, Lancaster, England","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085483772"],"corresponding_institution_ids":["https://openalex.org/I57825437"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08585355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"307","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":1.0,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.892115592956543},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6458651423454285},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6302233934402466},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6094903349876404},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5783628225326538},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.5732855796813965},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.5088191628456116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.50057053565979},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.45431941747665405},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.4439792037010193},{"id":"https://openalex.org/keywords/least-absolute-deviations","display_name":"Least absolute deviations","score":0.4347694516181946},{"id":"https://openalex.org/keywords/segmented-regression","display_name":"Segmented regression","score":0.4209996163845062},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.36529746651649475},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.3568563163280487},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2859238386154175},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.26710212230682373}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.892115592956543},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6458651423454285},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6302233934402466},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6094903349876404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5783628225326538},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.5732855796813965},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.5088191628456116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.50057053565979},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.45431941747665405},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.4439792037010193},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.4347694516181946},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.4209996163845062},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.36529746651649475},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3568563163280487},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2859238386154175},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.26710212230682373}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00180-007-0034-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-007-0034-3","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:22:y:2007:i:2:p:307-321","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-007-0034-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doc.rero.ch:319938","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400148","display_name":"reroDoc Digital Library","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1547879617","https://openalex.org/W1973967548","https://openalex.org/W1976927254","https://openalex.org/W1989638282","https://openalex.org/W1995945562","https://openalex.org/W2033872649","https://openalex.org/W2048871657","https://openalex.org/W2051120975","https://openalex.org/W2126728600","https://openalex.org/W2127314075","https://openalex.org/W2248214328","https://openalex.org/W2489822048","https://openalex.org/W2612575796","https://openalex.org/W3106889297","https://openalex.org/W3195554444","https://openalex.org/W4242645773","https://openalex.org/W6737288968","https://openalex.org/W6800894770","https://openalex.org/W6813704273"],"related_works":["https://openalex.org/W623416330","https://openalex.org/W2592719471","https://openalex.org/W600390644","https://openalex.org/W2508231025","https://openalex.org/W2603832496","https://openalex.org/W267133670","https://openalex.org/W4249387689","https://openalex.org/W1572035581","https://openalex.org/W1496469336","https://openalex.org/W2373426579"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
