{"id":"https://openalex.org/W1973324677","doi":"https://doi.org/10.1016/j.csda.2012.12.009","title":"A hyper-Poisson regression model for overdispersed and underdispersed count data","display_name":"A hyper-Poisson regression model for overdispersed and underdispersed count data","publication_year":2012,"publication_date":"2012-12-23","ids":{"openalex":"https://openalex.org/W1973324677","doi":"https://doi.org/10.1016/j.csda.2012.12.009","mag":"1973324677"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2012.12.009","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5049062536","display_name":"Antonio Jos\u00e9 S\u00e1ez-Castillo","orcid":"https://orcid.org/0000-0001-9795-9610"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A.J. S\u00e1ez-Castillo","raw_affiliation_strings":["Department of Statistics and Operations Research University of J\u00e1en Spain"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research University of J\u00e1en Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027737648","display_name":"Antonio Conde S\u00e1nchez","orcid":"https://orcid.org/0000-0003-0450-1585"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Conde-S\u00e1nchez","raw_affiliation_strings":["Department of Statistics and Operations Research University of J\u00e1en Spain"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research University of J\u00e1en Spain","institution_ids":["https://openalex.org/I191420491"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3340,"currency":"USD","value_usd":3340,"provenance":"doaj"},"apc_paid":null,"fwci":3.423,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":68,"citation_normalized_percentile":{"value":0.966524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"148","last_page":"157"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9804,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9804,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9773,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9719,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/overdispersion","display_name":"Overdispersion","score":0.96931005},{"id":"https://openalex.org/keywords/quasi-likelihood","display_name":"Quasi-likelihood","score":0.8183593}],"concepts":[{"id":"https://openalex.org/C117236510","wikidata":"https://www.wikidata.org/wiki/Q7113620","display_name":"Overdispersion","level":4,"score":0.96931005},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.87913},{"id":"https://openalex.org/C91025261","wikidata":"https://www.wikidata.org/wiki/Q7269460","display_name":"Quasi-likelihood","level":4,"score":0.8183593},{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.7518701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6444526},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.63499343},{"id":"https://openalex.org/C88721176","wikidata":"https://www.wikidata.org/wiki/Q966010","display_name":"Zero-inflated model","level":4,"score":0.5688308},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.54033107},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49085218},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.41882575},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41540664},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3821221},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3590033},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.11524317},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2012.12.009","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.45,"display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W1513618424","https://openalex.org/W1579369571","https://openalex.org/W1583862312","https://openalex.org/W1597777015","https://openalex.org/W1927248280","https://openalex.org/W1966089916","https://openalex.org/W1973628995","https://openalex.org/W1977795414","https://openalex.org/W1978860722","https://openalex.org/W1988247813","https://openalex.org/W1999692526","https://openalex.org/W2012999536","https://openalex.org/W2019609474","https://openalex.org/W2023449787","https://openalex.org/W2029269734","https://openalex.org/W2030257228","https://openalex.org/W2032705774","https://openalex.org/W2048001927","https://openalex.org/W2057817973","https://openalex.org/W2058390080","https://openalex.org/W2067224571","https://openalex.org/W2091136252","https://openalex.org/W2107390099","https://openalex.org/W2119509955","https://openalex.org/W2127414265","https://openalex.org/W2132362882","https://openalex.org/W2149161954","https://openalex.org/W2185514224","https://openalex.org/W2465493330","https://openalex.org/W2582743722","https://openalex.org/W3105081376","https://openalex.org/W3122544078","https://openalex.org/W3123160209","https://openalex.org/W4238065543","https://openalex.org/W4300750760","https://openalex.org/W4301274746"],"related_works":["https://openalex.org/W4287883011","https://openalex.org/W4210808373","https://openalex.org/W3210390693","https://openalex.org/W3165665316","https://openalex.org/W2971731486","https://openalex.org/W2892527358","https://openalex.org/W2759839044","https://openalex.org/W2742942015","https://openalex.org/W2588621874","https://openalex.org/W2127985786"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1973324677","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2024-12-08T17:14:39.018090","created_date":"2016-06-24"}