{"id":"https://openalex.org/W2027699746","doi":"https://doi.org/10.1007/s10994-008-5080-8","title":"Tree-structured model diagnostics for linear regression","display_name":"Tree-structured model diagnostics for linear regression","publication_year":2008,"publication_date":"2008-08-26","ids":{"openalex":"https://openalex.org/W2027699746","doi":"https://doi.org/10.1007/s10994-008-5080-8","mag":"2027699746"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-008-5080-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-008-5080-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-008-5080-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-008-5080-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073751336","display_name":"Xiaogang Su","orcid":"https://orcid.org/0000-0002-9642-9412"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaogang Su","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL, 32816, USA","Department of Statistics and Actuarial Science, University of Central Florida, Orlando, USA 32816#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL, 32816, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Central Florida, Orlando, USA 32816#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111779096","display_name":"Chih\u2010Ling Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chih-Ling Tsai","raw_affiliation_strings":["Graduate School of Management, University of California, Davis, CA, 95616, USA","Graduate School of Management, University of California, Davis, USA 95616"],"affiliations":[{"raw_affiliation_string":"Graduate School of Management, University of California, Davis, CA, 95616, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Graduate School of Management, University of California, Davis, USA 95616","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045615870","display_name":"Morgan C. Wang","orcid":"https://orcid.org/0000-0001-5216-2579"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morgan C. Wang","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL, 32816, USA","Department of Statistics and Actuarial Science, University of Central Florida, Orlando, USA 32816#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL, 32816, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Central Florida, Orlando, USA 32816#TAB#","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073751336"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.6124,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71196319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"74","issue":"2","first_page":"111","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9767000079154968,"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":0.9767000079154968,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9610000252723694,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9401999711990356,"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/homoscedasticity","display_name":"Homoscedasticity","score":0.9504117965698242},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.6059659719467163},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5954638123512268},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5899173021316528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.566591203212738},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5467369556427002},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.5357944369316101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48020824790000916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4703619182109833},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.4286476969718933},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.422030508518219},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4193997085094452},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4146314859390259},{"id":"https://openalex.org/keywords/general-linear-model","display_name":"General linear model","score":0.4138130247592926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38864248991012573},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3438205122947693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34193265438079834},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.29263776540756226},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.26244866847991943}],"concepts":[{"id":"https://openalex.org/C104409967","wikidata":"https://www.wikidata.org/wiki/Q1054836","display_name":"Homoscedasticity","level":3,"score":0.9504117965698242},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.6059659719467163},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5954638123512268},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5899173021316528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.566591203212738},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5467369556427002},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.5357944369316101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48020824790000916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4703619182109833},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.4286476969718933},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.422030508518219},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4193997085094452},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4146314859390259},{"id":"https://openalex.org/C188321436","wikidata":"https://www.wikidata.org/wiki/Q1826488","display_name":"General linear model","level":3,"score":0.4138130247592926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38864248991012573},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3438205122947693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34193265438079834},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.29263776540756226},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.26244866847991943},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10994-008-5080-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-008-5080-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-008-5080-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:stars.library.ucf.edu:facultybib2000-3192","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/facultybib2000/2193","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Bibliography 2000s","raw_type":"text"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-13242","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/12243","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s10994-008-5080-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-008-5080-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-008-5080-8.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2027699746.pdf","grobid_xml":"https://content.openalex.org/works/W2027699746.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1513618424","https://openalex.org/W1594031697","https://openalex.org/W1607202247","https://openalex.org/W1973377904","https://openalex.org/W1985338491","https://openalex.org/W1990351156","https://openalex.org/W1990496309","https://openalex.org/W1996467877","https://openalex.org/W2012444665","https://openalex.org/W2022501109","https://openalex.org/W2029469881","https://openalex.org/W2058404065","https://openalex.org/W2058815839","https://openalex.org/W2060806362","https://openalex.org/W2085222879","https://openalex.org/W2088218038","https://openalex.org/W2092590148","https://openalex.org/W2102000606","https://openalex.org/W2106579330","https://openalex.org/W2168175751","https://openalex.org/W2169064458","https://openalex.org/W2318339300","https://openalex.org/W2328425223","https://openalex.org/W2337274292","https://openalex.org/W2912934387","https://openalex.org/W3085162807","https://openalex.org/W3146425672","https://openalex.org/W4212936893","https://openalex.org/W4232001557","https://openalex.org/W4236902994","https://openalex.org/W4240874411","https://openalex.org/W4242212377","https://openalex.org/W4243865692","https://openalex.org/W4291114417","https://openalex.org/W4299798163","https://openalex.org/W6636363561","https://openalex.org/W6808111085","https://openalex.org/W6812526973","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W4309298396","https://openalex.org/W2942025294","https://openalex.org/W1572494532","https://openalex.org/W4226071118","https://openalex.org/W4242077822","https://openalex.org/W652265168","https://openalex.org/W4403913711","https://openalex.org/W1519352203","https://openalex.org/W65314033","https://openalex.org/W1971196763"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}