{"id":"https://openalex.org/W2564640751","doi":null,"title":"F tests and regression analysis of variance based on smoothing spline estimators","display_name":"F tests and regression analysis of variance based on smoothing spline estimators","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2564640751","mag":"2564640751"},"language":"en","primary_location":{"id":"mag:2564640751","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Wenceslao_Gonzalez-Manteiga/publication/228466653_F_tests_and_regression_analysis_of_variance_based_on_smoothing_spline_estimators/links/545798d20cf2cf51648217d1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S23408671","display_name":"Statistica Sinica","issn_l":"1017-0405","issn":["1017-0405","1996-8507"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","jufo-2","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4362561675","host_organization_name":"Institute of Statistical Science","host_organization_lineage":["https://openalex.org/P4362561675"],"host_organization_lineage_names":["Institute of Statistical Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Statistica Sinica","raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W2564640751"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":[],"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/A5074287911","display_name":"Luis Alberto Ramil Novo","orcid":"https://orcid.org/0000-0002-3921-3957","observed_orcids":["https://orcid.org/0000-0002-3921-3957"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Alberto Ramil Novo","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3921-3957","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071756565","display_name":"Wenceslao Gonz\u00e1lez\u2013Manteiga","orcid":"https://orcid.org/0000-0002-3555-4623","observed_orcids":["https://orcid.org/0000-0002-3555-4623"]},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Wenceslao Gonz\u00e1lez\u2010Manteiga","raw_affiliation_strings":["Universidade de Santiago de compostela"],"raw_orcid":"https://orcid.org/0000-0002-3555-4623","affiliations":[{"raw_affiliation_string":"Universidade de Santiago de compostela","institution_ids":["https://openalex.org/I200284239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3974,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57744381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"10","issue":"3","first_page":"819","last_page":"837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.6234999895095825,"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":0.6234999895095825,"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/T13141","display_name":"Statistical Methods and Applications","score":0.2207999974489212,"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/T10136","display_name":"Statistical Methods and Inference","score":0.12950000166893005,"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/f-test","display_name":"F-test","score":0.6119999885559082},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"goodness of fit","score":0.777999997138977},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"polynomial regression","score":0.9789999723434448},{"id":"https://openalex.org/keywords/smoothing-splines","display_name":"smoothing splines","score":0.847000002861023},{"id":"https://openalex.org/keywords/spline-estimators","display_name":"spline estimators","score":0.8500000238418579},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"asymptotic distribution","score":0.9890000224113464},{"id":"https://openalex.org/keywords/analysis-of-variance","display_name":"analysis of variance","score":0.9079999923706055},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"nonparametric regression","score":0.9980000257492065},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"R-squared","score":0.8240000009536743},{"id":"https://openalex.org/keywords/nonparametric-models","display_name":"nonparametric models","score":0.796999990940094}],"concepts":[{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.7219289541244507},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7013819813728333},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.6865917444229126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6715763807296753},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.6659789085388184},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.5822168588638306},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5796374678611755},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5681822896003723},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5268601179122925},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49994587898254395},{"id":"https://openalex.org/C120488996","wikidata":"https://www.wikidata.org/wiki/Q17016064","display_name":"Variance function","level":3,"score":0.48108741641044617},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4314522445201874},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.42979487776756287},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.42732834815979004},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.4166696071624756},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4143248200416565},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4107345938682556},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.07505059242248535},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2564640751","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Wenceslao_Gonzalez-Manteiga/publication/228466653_F_tests_and_regression_analysis_of_variance_based_on_smoothing_spline_estimators/links/545798d20cf2cf51648217d1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S23408671","display_name":"Statistica Sinica","issn_l":"1017-0405","issn":["1017-0405","1996-8507"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","jufo-2","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4362561675","host_organization_name":"Institute of Statistical Science","host_organization_lineage":["https://openalex.org/P4362561675"],"host_organization_lineage_names":["Institute of Statistical Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Statistica Sinica","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W79625473","https://openalex.org/W1965999112","https://openalex.org/W1971847620","https://openalex.org/W1978326938","https://openalex.org/W1982400500","https://openalex.org/W1982442618","https://openalex.org/W1983247085","https://openalex.org/W1983515516","https://openalex.org/W1985022394","https://openalex.org/W1989613629","https://openalex.org/W2006314423","https://openalex.org/W2017977879","https://openalex.org/W2024217456","https://openalex.org/W2027248710","https://openalex.org/W2039550740","https://openalex.org/W2042781366","https://openalex.org/W2048706383","https://openalex.org/W2052424275","https://openalex.org/W2065540158","https://openalex.org/W2086884508","https://openalex.org/W2094450044","https://openalex.org/W2094784573","https://openalex.org/W2102041666","https://openalex.org/W2140170995","https://openalex.org/W2332903284","https://openalex.org/W2797583072"],"related_works":["https://openalex.org/W2024217456","https://openalex.org/W2791019336","https://openalex.org/W4302599714","https://openalex.org/W4230615526","https://openalex.org/W2025563683","https://openalex.org/W1989613629","https://openalex.org/W2089494781","https://openalex.org/W1985022394","https://openalex.org/W2073978867","https://openalex.org/W2027248710"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"the":[3,12,19,38],"goodness-of-fit":[4],"of":[5,15,18,25,33,52],"a":[6,50],"polynomial":[7],"regression":[8],"model.":[9],"We":[10],"derive":[11],"asymptotic":[13],"distribution":[14],"two":[16],"generalizations":[17],"classical":[20,39],"F":[21],"test":[22],"by":[23],"means":[24],"spline":[26],"estimators.":[27],"Furthermore,":[28],"we":[29,47],"propose":[30],"an":[31],"analysis":[32],"variance":[34],"technique":[35],"that":[36],"extends":[37],"one":[40],"from":[41],"linear":[42],"to":[43],"nonparametric":[44,55],"regression,":[45],"and":[46],"put":[48],"forward":[49],"coefficient":[51],"determination":[53],"for":[54],"models.":[56]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2017-01-06T00:00:00"}