{"id":"https://openalex.org/W2223319460","doi":"https://doi.org/10.1007/s11634-015-0231-9","title":"Quantile composite-based path modeling","display_name":"Quantile composite-based path modeling","publication_year":2016,"publication_date":"2016-01-09","ids":{"openalex":"https://openalex.org/W2223319460","doi":"https://doi.org/10.1007/s11634-015-0231-9","mag":"2223319460"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-015-0231-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5355","issn":["1862-5355","1862-5347"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"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/A5042347363","display_name":"Cristina Davino","orcid":"https://orcid.org/0000-0003-1154-4209"},"institutions":[{"id":"https://openalex.org/I55133342","display_name":"University of Macerata","ror":"https://ror.org/0001fmy77","country_code":"IT","type":"education","lineage":["https://openalex.org/I55133342"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Cristina Davino","raw_affiliation_strings":["Department of Political Sciences, Communications and International Relations, University of Macerata, Piazza Strambi 1, I-62100, Macerata, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Political Sciences, Communications and International Relations, University of Macerata, Piazza Strambi 1, I-62100, Macerata, Italy","institution_ids":["https://openalex.org/I55133342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052343701","display_name":"Vincenzo Esposito Vinzi","orcid":"https://orcid.org/0000-0001-8772-042X"},"institutions":[{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I124261006","display_name":"\u00c9cole Sup\u00e9rieure des Sciences \u00c9conomiques et Commerciales","ror":"https://ror.org/02dga6j42","country_code":"FR","type":"other","lineage":["https://openalex.org/I124261006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincenzo Esposito Vinzi","raw_affiliation_strings":["Department of Information Systems, Decision Sciences and Statistics, ESSEC Business School, 3, Avenue Bernard Hirsch, CS 50105, 95021, Cergy-Pontoise Cedex, France"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Decision Sciences and Statistics, ESSEC Business School, 3, Avenue Bernard Hirsch, CS 50105, 95021, Cergy-Pontoise Cedex, France","institution_ids":["https://openalex.org/I4210142324","https://openalex.org/I124261006"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042347363"],"corresponding_institution_ids":["https://openalex.org/I55133342"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990,"provenance":"doaj"},"apc_paid":null,"fwci":1.8,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":19,"citation_normalized_percentile":{"value":0.919588,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"10","issue":"4","first_page":"491","last_page":"520"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9987,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9987,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9475,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9282,"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/quantile","display_name":"Quantile","score":0.80756783},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.71611065},{"id":"https://openalex.org/keywords/path-coefficient","display_name":"Path coefficient","score":0.43270332},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.4103127}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.80756783},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.73925483},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.71611065},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5955155},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5603784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53458285},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.48542675},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.4664428},{"id":"https://openalex.org/C65721934","wikidata":"https://www.wikidata.org/wiki/Q7144645","display_name":"Path coefficient","level":3,"score":0.43270332},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.4103127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39471877},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39268112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34818596},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34080136},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3118477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28197235},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-015-0231-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5355","issn":["1862-5355","1862-5347"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":50,"referenced_works":["https://openalex.org/W123937888","https://openalex.org/W127357287","https://openalex.org/W1494384826","https://openalex.org/W1968206427","https://openalex.org/W1974419799","https://openalex.org/W1974511780","https://openalex.org/W1984857748","https://openalex.org/W1984947418","https://openalex.org/W1992015234","https://openalex.org/W2001715592","https://openalex.org/W2020023242","https://openalex.org/W2030431067","https://openalex.org/W2033158547","https://openalex.org/W2034946021","https://openalex.org/W2036736987","https://openalex.org/W2037090786","https://openalex.org/W2056445521","https://openalex.org/W2061960194","https://openalex.org/W2073894198","https://openalex.org/W2077071171","https://openalex.org/W2077505780","https://openalex.org/W2077749616","https://openalex.org/W2090552208","https://openalex.org/W2092258836","https://openalex.org/W2096904991","https://openalex.org/W2099410559","https://openalex.org/W2100394393","https://openalex.org/W2101984817","https://openalex.org/W2118711140","https://openalex.org/W2130892515","https://openalex.org/W2136901171","https://openalex.org/W2152663603","https://openalex.org/W2157812114","https://openalex.org/W2165429427","https://openalex.org/W2169281074","https://openalex.org/W2232992278","https://openalex.org/W2466564333","https://openalex.org/W2481769138","https://openalex.org/W2500862931","https://openalex.org/W2890622637","https://openalex.org/W2906626204","https://openalex.org/W3122877168","https://openalex.org/W3147343449","https://openalex.org/W3644042","https://openalex.org/W4241653265","https://openalex.org/W4241996101","https://openalex.org/W4255619213","https://openalex.org/W4399576615","https://openalex.org/W569613068","https://openalex.org/W656490128"],"related_works":["https://openalex.org/W4388704167","https://openalex.org/W4376874882","https://openalex.org/W4318833145","https://openalex.org/W4206618949","https://openalex.org/W4206511378","https://openalex.org/W3205863630","https://openalex.org/W2526321210","https://openalex.org/W2364275385","https://openalex.org/W2224749288","https://openalex.org/W2007977664"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2223319460","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2024-12-10T08:01:44.904584","created_date":"2016-06-24"}