{"id":"https://openalex.org/W4220820719","doi":"https://doi.org/10.1007/s11634-022-00495-6","title":"Robust mixture regression modeling based on two-piece scale mixtures of normal distributions","display_name":"Robust mixture regression modeling based on two-piece scale mixtures of normal distributions","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W4220820719","doi":"https://doi.org/10.1007/s11634-022-00495-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-022-00495-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00495-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and 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/A5047086870","display_name":"Atefeh Zarei","orcid":"https://orcid.org/0000-0002-2457-2455"},"institutions":[{"id":"https://openalex.org/I4210090965","display_name":"Islamic Azad University, Marvdasht","ror":"https://ror.org/00bqttt79","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210090965"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Atefeh Zarei","raw_affiliation_strings":["Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran","institution_ids":["https://openalex.org/I4210090965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087108662","display_name":"Zahra Khodadadi","orcid":"https://orcid.org/0000-0001-8242-762X"},"institutions":[{"id":"https://openalex.org/I4210090965","display_name":"Islamic Azad University, Marvdasht","ror":"https://ror.org/00bqttt79","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210090965"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Zahra Khodadadi","raw_affiliation_strings":["Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran","institution_ids":["https://openalex.org/I4210090965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034431510","display_name":"Mohsen Maleki","orcid":"https://orcid.org/0000-0002-2774-2464"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohsen Maleki","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematics and Statistics, University of Isfahan, 81746-73441, Isfahan, Iran"],"raw_orcid":"https://orcid.org/0000-0002-2774-2464","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematics and Statistics, University of Isfahan, 81746-73441, Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102810821","display_name":"Karim Zare","orcid":"https://orcid.org/0000-0002-6234-3303"},"institutions":[{"id":"https://openalex.org/I4210090965","display_name":"Islamic Azad University, Marvdasht","ror":"https://ror.org/00bqttt79","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210090965"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Karim Zare","raw_affiliation_strings":["Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran","institution_ids":["https://openalex.org/I4210090965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034431510"],"corresponding_institution_ids":["https://openalex.org/I39268498"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.8324,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76886839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"17","issue":"1","first_page":"181","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9984999895095825,"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":0.9984999895095825,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9724000096321106,"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":0.9434999823570251,"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/outlier","display_name":"Outlier","score":0.7539684772491455},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5405020713806152},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5293090343475342},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.5022666454315186},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4977448284626007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4773414433002472},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4635068476200104},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.46163201332092285},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45704537630081177},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45510780811309814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43916380405426025},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36511993408203125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35678935050964355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22178852558135986}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7539684772491455},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5405020713806152},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5293090343475342},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.5022666454315186},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4977448284626007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4773414433002472},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4635068476200104},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46163201332092285},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45704537630081177},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45510780811309814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43916380405426025},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36511993408203125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35678935050964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22178852558135986},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-022-00495-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00495-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:17:y:2023:i:1:d:10.1007_s11634-022-00495-6","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-022-00495-6","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W45374770","https://openalex.org/W168241150","https://openalex.org/W1218518433","https://openalex.org/W1499626337","https://openalex.org/W1503100111","https://openalex.org/W1963925817","https://openalex.org/W1967639437","https://openalex.org/W1974648697","https://openalex.org/W1980503918","https://openalex.org/W1994296756","https://openalex.org/W1994888851","https://openalex.org/W1996313199","https://openalex.org/W2005654075","https://openalex.org/W2006813882","https://openalex.org/W2023689787","https://openalex.org/W2029819426","https://openalex.org/W2033076513","https://openalex.org/W2049419088","https://openalex.org/W2049633694","https://openalex.org/W2060892840","https://openalex.org/W2065432682","https://openalex.org/W2068993558","https://openalex.org/W2072585295","https://openalex.org/W2074682976","https://openalex.org/W2074812030","https://openalex.org/W2086205459","https://openalex.org/W2105987613","https://openalex.org/W2106230501","https://openalex.org/W2111809489","https://openalex.org/W2118254160","https://openalex.org/W2135046866","https://openalex.org/W2142635246","https://openalex.org/W2152922857","https://openalex.org/W2168175751","https://openalex.org/W2181759474","https://openalex.org/W2231282471","https://openalex.org/W2488678869","https://openalex.org/W2490394286","https://openalex.org/W2589764326","https://openalex.org/W2803264556","https://openalex.org/W2804766098","https://openalex.org/W2911360051","https://openalex.org/W2914422414","https://openalex.org/W2935505770","https://openalex.org/W2955307130","https://openalex.org/W3013756208","https://openalex.org/W3022291642","https://openalex.org/W3024647574","https://openalex.org/W3033842508","https://openalex.org/W3097832718","https://openalex.org/W3100686658","https://openalex.org/W3110245106","https://openalex.org/W3125359803","https://openalex.org/W3206702485","https://openalex.org/W3208655423","https://openalex.org/W3209719009","https://openalex.org/W4205384495"],"related_works":["https://openalex.org/W2955958993","https://openalex.org/W3121734683","https://openalex.org/W2085680114","https://openalex.org/W4210813465","https://openalex.org/W1600426151","https://openalex.org/W1974187127","https://openalex.org/W1833314573","https://openalex.org/W3121311879","https://openalex.org/W4380879348","https://openalex.org/W1506656464"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}