{"id":"https://openalex.org/W2624068170","doi":"https://doi.org/10.1007/s00357-017-9233-y","title":"The Effect of Model Misspecification on Growth Mixture Model Class Enumeration","display_name":"The Effect of Model Misspecification on Growth Mixture Model Class Enumeration","publication_year":2017,"publication_date":"2017-06-10","ids":{"openalex":"https://openalex.org/W2624068170","doi":"https://doi.org/10.1007/s00357-017-9233-y","mag":"2624068170"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-017-9233-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-017-9233-y","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of Classification","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/A5057205670","display_name":"Daniel McNeish","orcid":"https://orcid.org/0000-0003-1643-9408"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel McNeish","raw_affiliation_strings":["University of Maryland, 100 E. Franklin Street Suite 200, Chapel Hill, NC, 27599, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, 100 E. Franklin Street Suite 200, Chapel Hill, NC, 27599, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030146059","display_name":"Jeffrey R. Harring","orcid":"https://orcid.org/0000-0002-7102-0303"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey R. Harring","raw_affiliation_strings":["University of Maryland, 100 E. Franklin Street Suite 200, Chapel Hill, NC, 27599, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, 100 E. Franklin Street Suite 200, Chapel Hill, NC, 27599, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057205670"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.4457,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.8660313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"223","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9866999983787537,"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/covariate","display_name":"Covariate","score":0.7472600340843201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5741117000579834},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5716348886489868},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5360057353973389},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5278244614601135},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4878866672515869},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4667273759841919},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4378890097141266},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.42619261145591736},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.41208532452583313},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.4115392565727234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3581905961036682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21679922938346863}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7472600340843201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5741117000579834},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5716348886489868},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5360057353973389},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5278244614601135},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4878866672515869},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4667273759841919},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4378890097141266},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.42619261145591736},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.41208532452583313},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.4115392565727234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3581905961036682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21679922938346863},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00357-017-9233-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-017-9233-y","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jclass:v:34:y:2017:i:2:d:10.1007_s00357-017-9233-y","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00357-017-9233-y","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W75685785","https://openalex.org/W119811874","https://openalex.org/W1488746438","https://openalex.org/W1572134371","https://openalex.org/W1579271636","https://openalex.org/W1598612182","https://openalex.org/W1610955089","https://openalex.org/W1747608905","https://openalex.org/W1801266625","https://openalex.org/W1830719945","https://openalex.org/W1963603753","https://openalex.org/W1963721335","https://openalex.org/W1966986302","https://openalex.org/W1968371014","https://openalex.org/W1971410477","https://openalex.org/W1978754357","https://openalex.org/W1983398668","https://openalex.org/W1985321835","https://openalex.org/W1989470692","https://openalex.org/W1999927509","https://openalex.org/W2002586964","https://openalex.org/W2013071495","https://openalex.org/W2014630325","https://openalex.org/W2015370450","https://openalex.org/W2020559865","https://openalex.org/W2022306341","https://openalex.org/W2024233657","https://openalex.org/W2026334182","https://openalex.org/W2027369775","https://openalex.org/W2028280092","https://openalex.org/W2032201441","https://openalex.org/W2041960457","https://openalex.org/W2042613222","https://openalex.org/W2044579390","https://openalex.org/W2046257602","https://openalex.org/W2046402668","https://openalex.org/W2053101168","https://openalex.org/W2057964179","https://openalex.org/W2063605818","https://openalex.org/W2064453313","https://openalex.org/W2064685291","https://openalex.org/W2072221629","https://openalex.org/W2074448584","https://openalex.org/W2074723722","https://openalex.org/W2075945561","https://openalex.org/W2078977693","https://openalex.org/W2079875205","https://openalex.org/W2080372453","https://openalex.org/W2090330784","https://openalex.org/W2092111673","https://openalex.org/W2094358882","https://openalex.org/W2106706098","https://openalex.org/W2109820980","https://openalex.org/W2111669400","https://openalex.org/W2114909733","https://openalex.org/W2118079952","https://openalex.org/W2121236536","https://openalex.org/W2121297553","https://openalex.org/W2121916143","https://openalex.org/W2139347187","https://openalex.org/W2168175751","https://openalex.org/W2204324558","https://openalex.org/W2319240557","https://openalex.org/W2488678869","https://openalex.org/W2490299235","https://openalex.org/W2495436614","https://openalex.org/W4234314870","https://openalex.org/W4236917116","https://openalex.org/W4237377395"],"related_works":["https://openalex.org/W108845024","https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2211931904","https://openalex.org/W4300125793","https://openalex.org/W2578985712","https://openalex.org/W2406961474","https://openalex.org/W3042106073","https://openalex.org/W2143566611"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
