{"id":"https://openalex.org/W2164533657","doi":"https://doi.org/10.1007/s10260-015-0316-9","title":"A generalized framework for modelling ordinal data","display_name":"A generalized framework for modelling ordinal data","publication_year":2015,"publication_date":"2015-05-11","ids":{"openalex":"https://openalex.org/W2164533657","doi":"https://doi.org/10.1007/s10260-015-0316-9","mag":"2164533657"},"language":"en","primary_location":{"id":"doi:10.1007/s10260-015-0316-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-015-0316-9","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"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":"Statistical Methods &amp; Applications","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/A5004936055","display_name":"Maria Iannario","orcid":"https://orcid.org/0000-0002-2646-9937"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Iannario","raw_affiliation_strings":["Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2 22, 80138, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2 22, 80138, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046058157","display_name":"Domenico Piccolo","orcid":"https://orcid.org/0000-0002-5198-1078"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Piccolo","raw_affiliation_strings":["Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2 22, 80138, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2 22, 80138, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004936055"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":8.4862,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97561725,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"2","first_page":"163","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9976999759674072,"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":0.9976999759674072,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.987500011920929,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9825000166893005,"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/ordinal-data","display_name":"Ordinal data","score":0.7075530886650085},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.691358745098114},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6282931566238403},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5593591332435608},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5406475067138672},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5396701097488403},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5021979808807373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4968264400959015},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.490562379360199},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.44630947709083557},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.440733939409256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39254945516586304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38704192638397217},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28282251954078674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27361154556274414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2631070613861084}],"concepts":[{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.7075530886650085},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.691358745098114},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6282931566238403},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5593591332435608},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5406475067138672},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5396701097488403},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5021979808807373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4968264400959015},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.490562379360199},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.44630947709083557},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.440733939409256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39254945516586304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38704192638397217},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28282251954078674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27361154556274414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2631070613861084},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10260-015-0316-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-015-0316-9","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"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":"Statistical Methods &amp; Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:stmapp:v:25:y:2016:i:2:d:10.1007_s10260-015-0316-9","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10260-015-0316-9","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":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309590","display_name":"Universit\u00e0 degli Studi di Napoli Federico II","ror":"https://ror.org/05290cv24"},{"id":"https://openalex.org/F4320309746","display_name":"Compagnia di San Paolo","ror":"https://ror.org/00d1b1c41"},{"id":"https://openalex.org/F4320326523","display_name":"Universit\u00e0 degli Studi di Perugia","ror":"https://ror.org/00x27da85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W43438869","https://openalex.org/W103746608","https://openalex.org/W191383808","https://openalex.org/W192858080","https://openalex.org/W214995755","https://openalex.org/W599482115","https://openalex.org/W1528905581","https://openalex.org/W1531084383","https://openalex.org/W1543429635","https://openalex.org/W1579271636","https://openalex.org/W1581871128","https://openalex.org/W1873057782","https://openalex.org/W1925504877","https://openalex.org/W1971844676","https://openalex.org/W1982882480","https://openalex.org/W1984526963","https://openalex.org/W2000025854","https://openalex.org/W2010398643","https://openalex.org/W2014942137","https://openalex.org/W2018277595","https://openalex.org/W2019232498","https://openalex.org/W2028324177","https://openalex.org/W2028596899","https://openalex.org/W2032624485","https://openalex.org/W2049328185","https://openalex.org/W2049633694","https://openalex.org/W2053928434","https://openalex.org/W2060074015","https://openalex.org/W2061367177","https://openalex.org/W2093978429","https://openalex.org/W2117853077","https://openalex.org/W2158399547","https://openalex.org/W2255146750","https://openalex.org/W2269188028","https://openalex.org/W2318032547","https://openalex.org/W2319350549","https://openalex.org/W2462950996","https://openalex.org/W2480455979","https://openalex.org/W2488678869","https://openalex.org/W2498094064","https://openalex.org/W2797333853","https://openalex.org/W2801490189","https://openalex.org/W4285719527","https://openalex.org/W4298401804","https://openalex.org/W4301861531"],"related_works":["https://openalex.org/W2620587205","https://openalex.org/W4246828889","https://openalex.org/W2040319522","https://openalex.org/W4236505594","https://openalex.org/W1002454073","https://openalex.org/W2170093988","https://openalex.org/W3169768346","https://openalex.org/W2023697574","https://openalex.org/W1969223188","https://openalex.org/W1664010398"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
