{"id":"https://openalex.org/W3205544585","doi":"https://doi.org/10.1080/23737484.2021.2017810","title":"A robust approach for outlier imputation: Singular spectrum decomposition","display_name":"A robust approach for outlier imputation: Singular spectrum decomposition","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W3205544585","doi":"https://doi.org/10.1080/23737484.2021.2017810","mag":"3205544585"},"language":"en","primary_location":{"id":"doi:10.1080/23737484.2021.2017810","doi":"https://doi.org/10.1080/23737484.2021.2017810","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23737484.2021.2017810","pdf_url":null,"source":{"id":"https://openalex.org/S4210216072","display_name":"Communications in Statistics Case Studies Data Analysis and Applications","issn_l":"2373-7484","issn":["2373-7484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics: Case Studies, Data Analysis and Applications","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3205544585"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.up.ac.za/bitstream/2263/84439/1/Movahedifar_Robust_2022.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005710638","display_name":"Maryam Movahedifar","orcid":"https://orcid.org/0000-0003-0283-7560","observed_orcids":["https://orcid.org/0000-0003-0283-7560"]},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maryam Movahedifar","raw_affiliation_strings":["Institute for Statistics, University of Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Statistics, University of Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037960046","display_name":"Hossein Hassani","orcid":"https://orcid.org/0000-0003-0897-8663","observed_orcids":["https://orcid.org/0000-0003-0897-8663"]},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hossein Hassani","raw_affiliation_strings":["Research Institute of Energy Management and Planning, University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-0897-8663","affiliations":[{"raw_affiliation_string":"Research Institute of Energy Management and Planning, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065252069","display_name":"Masoud Yarmohammadi","orcid":"https://orcid.org/0000-0001-7038-7106","observed_orcids":["https://orcid.org/0000-0001-7038-7106"]},"institutions":[{"id":"https://openalex.org/I55547365","display_name":"Payame Noor University","ror":"https://ror.org/031699d98","country_code":"IR","type":"education","lineage":["https://openalex.org/I55547365"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Yarmohammadi","raw_affiliation_strings":["Department of Statistics, Payame Noor University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Payame Noor University, Tehran, Iran","institution_ids":["https://openalex.org/I55547365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018597734","display_name":"Mahdi Kalantari","orcid":"https://orcid.org/0000-0003-4951-1402","observed_orcids":["https://orcid.org/0000-0003-4951-1402"]},"institutions":[{"id":"https://openalex.org/I55547365","display_name":"Payame Noor University","ror":"https://ror.org/031699d98","country_code":"IR","type":"education","lineage":["https://openalex.org/I55547365"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Kalantari","raw_affiliation_strings":["Department of Statistics, Payame Noor University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Payame Noor University, Tehran, Iran","institution_ids":["https://openalex.org/I55547365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015669404","display_name":"Rangan Gupta","orcid":"https://orcid.org/0000-0001-5002-3428","observed_orcids":["https://orcid.org/0000-0001-5002-3428","https://orcid.org/0000-0001-8164-135X"]},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Rangan Gupta","raw_affiliation_strings":["Department of Economics, University of Pretoria, Pretoria, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037960046"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.3167219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"8","issue":"2","first_page":"234","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.57669997215271,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.57669997215271,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.28760001063346863,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.06589999794960022,"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/singular-spectrum-analysis","display_name":"singular spectrum analysis","score":0.7639999985694885},{"id":"https://openalex.org/keywords/singular-spectrum-decomposition","display_name":"singular spectrum decomposition","score":0.953000009059906},{"id":"https://openalex.org/keywords/outlier-robustness","display_name":"outlier robustness","score":0.7480000257492065},{"id":"https://openalex.org/keywords/time-series-reconstruction","display_name":"time series reconstruction","score":0.8349999785423279},{"id":"https://openalex.org/keywords/l1-norm","display_name":"L1 norm","score":0.7509999871253967},{"id":"https://openalex.org/keywords/embeddings","display_name":"embeddings","score":0.5950000286102295},{"id":"https://openalex.org/keywords/signal-and-noise-separation","display_name":"signal and noise separation","score":0.6299999952316284},{"id":"https://openalex.org/keywords/time-series-denoising","display_name":"time series denoising","score":0.5849999785423279}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8834825754165649},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.7928522825241089},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5374354124069214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332313179969788},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5325124859809875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48280251026153564},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47428518533706665},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4493733048439026},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4146333336830139},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4008927345275879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305252194404602},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.2893385589122772},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2589697241783142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2426617443561554},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.11289694905281067},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/23737484.2021.2017810","doi":"https://doi.org/10.1080/23737484.2021.2017810","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23737484.2021.2017810","pdf_url":null,"source":{"id":"https://openalex.org/S4210216072","display_name":"Communications in Statistics Case Studies Data Analysis and Applications","issn_l":"2373-7484","issn":["2373-7484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics: Case Studies, Data Analysis and Applications","raw_type":"journal-article"},{"id":"pmh:oai:repository.up.ac.za:2263/84439","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/84439","pdf_url":"https://repository.up.ac.za/bitstream/2263/84439/1/Movahedifar_Robust_2022.pdf","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Postprint Article"}],"best_oa_location":{"id":"pmh:oai:repository.up.ac.za:2263/84439","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/84439","pdf_url":"https://repository.up.ac.za/bitstream/2263/84439/1/Movahedifar_Robust_2022.pdf","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Postprint Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205544585.pdf","grobid_xml":"https://content.openalex.org/works/W3205544585.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W4012559","https://openalex.org/W1875542790","https://openalex.org/W1976900509","https://openalex.org/W1977735854","https://openalex.org/W1982191191","https://openalex.org/W1995392412","https://openalex.org/W2003516894","https://openalex.org/W2006669668","https://openalex.org/W2052341697","https://openalex.org/W2053125529","https://openalex.org/W2068251166","https://openalex.org/W2137945753","https://openalex.org/W2311542041","https://openalex.org/W2474985546","https://openalex.org/W2496336878","https://openalex.org/W2503233733","https://openalex.org/W2552968203","https://openalex.org/W2587559554","https://openalex.org/W2765776117","https://openalex.org/W2790902084","https://openalex.org/W2793407305","https://openalex.org/W2793763964","https://openalex.org/W2808220546","https://openalex.org/W2809796468","https://openalex.org/W2857643052","https://openalex.org/W2887589582","https://openalex.org/W2902499798","https://openalex.org/W2903697806","https://openalex.org/W2927653054","https://openalex.org/W2958342309","https://openalex.org/W3023479687","https://openalex.org/W3113027085","https://openalex.org/W4210488825","https://openalex.org/W4232129301","https://openalex.org/W4245521939","https://openalex.org/W4297709905"],"related_works":["https://openalex.org/W2311542041","https://openalex.org/W2903228704","https://openalex.org/W7221038577","https://openalex.org/W2739504218","https://openalex.org/W2793763964","https://openalex.org/W2809072323","https://openalex.org/W2151246315","https://openalex.org/W2994366800","https://openalex.org/W4403448494","https://openalex.org/W4403289741"],"abstract_inverted_index":{"Singular":[0,62],"spectrum":[1],"analysis":[2],"(SSA)":[3],"is":[4,34,38,67,94,104,111,118,130,139,151],"a":[5,14,112,142],"nonparametric":[6],"method":[7,66],"for":[8],"separating":[9],"time":[10,50,85,178],"series":[11,51,86,179],"data":[12,163],"into":[13],"sum":[15],"of":[16,19,26,29,43,57,74,91,115,145,167],"small":[17],"numbers":[18],"interpretable":[20],"components":[21],"(signal":[22],"+":[23],"noise).":[24],"One":[25],"the":[27,30,55,72,89,97,105,165,177],"steps":[28],"SSA":[31,59,75,81,103,116,169],"method,":[32],"which":[33,45,150],"referenced":[35],"to":[36,41],"Embedding,":[37],"extremely":[39],"sensitive":[40],"contamination":[42],"outliers":[44],"are":[46,82],"often":[47],"founded":[48],"in":[49,84,88,101,175],"analysis.":[52],"To":[53],"reduce":[54],"effect":[56],"outliers,":[58],"based":[60,76,119,147,170],"on":[61,77,120,148,158,171],"Spectrum":[63],"Decomposition":[64],"(SSD)":[65],"proposed.":[68],"In":[69,134],"this":[70,135,137],"article,":[71],"ability":[73],"SSD":[78,146,172],"and":[79,122,161,173],"basic":[80,168],"compared":[83],"reconstruction":[87],"presence":[90],"outliers.":[92,133,183],"It":[93,125],"noteworthy":[95],"that":[96,117,128],"matrix":[98],"norm":[99,107],"used":[100],"Basic":[102],"Frobenius":[106],"or":[108],"L2-norm.":[109],"There":[110],"newer":[113],"version":[114,144],"L1-norm":[121,149,174],"called":[123,152],"L1-SSA.":[124],"was":[126],"confirmed":[127],"L1-SSA":[129],"robust":[131],"against":[132],"regard,":[136],"research":[138],"also":[140],"introduced":[141],"new":[143],"L1-SSD.":[153],"A":[154],"wide":[155],"empirical":[156],"study":[157],"both":[159],"simulated":[160],"real":[162],"verifies":[164],"efficiency":[166],"reconstructing":[176],"where":[180],"polluted":[181],"by":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-10-25T00:00:00"}
