{"id":"https://openalex.org/W2054934282","doi":"https://doi.org/10.2202/1559-0410.1009","title":"There's No Place Like Home: Estimating Intra-Conference Home Field Advantage in College Football Using a Bayesian Piecewise Linear Model","display_name":"There's No Place Like Home: Estimating Intra-Conference Home Field Advantage in College Football Using a Bayesian Piecewise Linear Model","publication_year":2006,"publication_date":"2006-01-12","ids":{"openalex":"https://openalex.org/W2054934282","doi":"https://doi.org/10.2202/1559-0410.1009","mag":"2054934282"},"language":"en","primary_location":{"id":"doi:10.2202/1559-0410.1009","doi":"https://doi.org/10.2202/1559-0410.1009","is_oa":false,"landing_page_url":"https://doi.org/10.2202/1559-0410.1009","pdf_url":null,"source":{"id":"https://openalex.org/S78466176","display_name":"Journal of Quantitative Analysis in Sports","issn_l":"1559-0410","issn":["1559-0410","2194-6388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Analysis in Sports","raw_type":"journal-article"},"volume":null,"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/A5004067964","display_name":"Byron J. Gajewski","orcid":"https://orcid.org/0000-0001-7589-8247","observed_orcids":["https://orcid.org/0000-0001-7589-8247"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Byron J Gajewski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5004067964"],"corresponding_institution_ids":[],"apc_list":{"value":2400,"currency":"EUR","value_usd":2712},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.27928404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10942","display_name":"Sports, Gender, and Society","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/home-advantage","display_name":"home advantage","score":0.9959999918937683},{"id":"https://openalex.org/keywords/college-football","display_name":"college football","score":0.9990000128746033},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"longitudinal data","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.7079941630363464},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.6811239123344421},{"id":"https://openalex.org/C3019685099","wikidata":"https://www.wikidata.org/wiki/Q1109032","display_name":"College football","level":3,"score":0.6223660707473755},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5965667366981506},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5895988941192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838432312011719},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4892234802246094},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43761131167411804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.331668496131897},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.323733925819397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31909114122390747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27414068579673767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2442573606967926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09796014428138733},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2202/1559-0410.1009","doi":"https://doi.org/10.2202/1559-0410.1009","is_oa":false,"landing_page_url":"https://doi.org/10.2202/1559-0410.1009","pdf_url":null,"source":{"id":"https://openalex.org/S78466176","display_name":"Journal of Quantitative Analysis in Sports","issn_l":"1559-0410","issn":["1559-0410","2194-6388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Analysis in Sports","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2022249879","https://openalex.org/W4393377369","https://openalex.org/W4400459836","https://openalex.org/W2891878104","https://openalex.org/W2809020884","https://openalex.org/W3111645828","https://openalex.org/W3199094694","https://openalex.org/W2059843796","https://openalex.org/W2022639594","https://openalex.org/W3147943249"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,28,50],"method":[4,19,55],"to":[5],"measure":[6],"the":[7,10,54,57,65],"impact":[8],"of":[9,43,53,59],"home":[11,30,44,60,69],"field":[12,31,45,61,70],"advantage":[13,46],"for":[14,33],"intra-conference":[15],"college":[16],"football.":[17],"The":[18],"models":[20],"longitudinal":[21],"data":[22],"across":[23],"several":[24],"years":[25],"while":[26],"utilizing":[27],"unique":[29],"parameter":[32],"each":[34],"individual":[35],"team.":[36],"Additionally,":[37],"two":[38],"novel":[39],"yet":[40],"intuitive":[41],"measures":[42],"are":[47,76],"proposed.":[48],"As":[49],"case":[51],"study":[52],"and":[56,67],"definitions":[58],"advantage,":[62],"teams":[63],"with":[64],"best":[66],"worst":[68],"advantages":[71],"within":[72],"their":[73],"respective":[74],"conferences":[75],"determined.":[77]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}