{"id":"https://openalex.org/W1552990918","doi":"https://doi.org/10.1007/3-540-31314-1_31","title":"Robust Transformations and Outlier Detection with Autocorrelated Data","display_name":"Robust Transformations and Outlier Detection with Autocorrelated Data","publication_year":2006,"publication_date":"2006-04-19","ids":{"openalex":"https://openalex.org/W1552990918","doi":"https://doi.org/10.1007/3-540-31314-1_31","mag":"1552990918"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-31314-1_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-31314-1_31","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},"type":"book-chapter","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/A5077676878","display_name":"Andrea Cerioli","orcid":"https://orcid.org/0000-0002-2485-5674"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Cerioli","raw_affiliation_strings":["Department of Economics \u2014 Section of Statistics, University of Parma, 43100, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics \u2014 Section of Statistics, University of Parma, 43100, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065832212","display_name":"Marco Riani","orcid":"https://orcid.org/0000-0001-7886-2207"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Riani","raw_affiliation_strings":["Department of Economics \u2014 Section of Statistics, University of Parma, 43100, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics \u2014 Section of Statistics, University of Parma, 43100, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08206331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9997000098228455,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9904999732971191,"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":0.8416666984558105},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7367331385612488},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6827391982078552},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6684219241142273},{"id":"https://openalex.org/keywords/data-transformation","display_name":"Data transformation","score":0.6598939895629883},{"id":"https://openalex.org/keywords/power-transform","display_name":"Power transform","score":0.5396376848220825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4778575301170349},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.44187551736831665},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4247778058052063},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.401673823595047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36949723958969116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33385413885116577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30955201387405396}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8416666984558105},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7367331385612488},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6827391982078552},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6684219241142273},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.6598939895629883},{"id":"https://openalex.org/C208788","wikidata":"https://www.wikidata.org/wiki/Q895499","display_name":"Power transform","level":3,"score":0.5396376848220825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4778575301170349},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.44187551736831665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4247778058052063},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.401673823595047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36949723958969116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33385413885116577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30955201387405396},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-31314-1_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-31314-1_31","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.521.4958","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.521.4958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.riani.it/pub/cr06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1544729927","https://openalex.org/W1602869073","https://openalex.org/W1851792193","https://openalex.org/W2068302187","https://openalex.org/W2135902042","https://openalex.org/W2143022286","https://openalex.org/W2155745618","https://openalex.org/W2169714917","https://openalex.org/W2479198954","https://openalex.org/W2496675188","https://openalex.org/W2573715514","https://openalex.org/W2998755549","https://openalex.org/W3035751571","https://openalex.org/W4205757842","https://openalex.org/W4301436980"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W897837818","https://openalex.org/W2956042905","https://openalex.org/W2166424881","https://openalex.org/W2605800526"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}