{"id":"https://openalex.org/W2516903538","doi":"https://doi.org/10.1109/ssp.2016.7551739","title":"Mean square error performance of sample mean and sample median estimators","display_name":"Mean square error performance of sample mean and sample median estimators","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2516903538","doi":"https://doi.org/10.1109/ssp.2016.7551739","mag":"2516903538"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2016.7551739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/SSP.2016.7551739","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016660057","display_name":"Adri\u00e0 Gusi\u2010Amig\u00f3","orcid":"https://orcid.org/0000-0001-8427-7442"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Adria Gusi-Amigo","raw_affiliation_strings":["Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC), Spain"],"affiliations":[{"raw_affiliation_string":"Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC), Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032591834","display_name":"Ciosas Pau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pau Ciosas","raw_affiliation_strings":["Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC) Spain"],"affiliations":[{"raw_affiliation_string":"Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC) Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000909128","display_name":"Luc Vandendorpe","orcid":"https://orcid.org/0000-0003-4958-8848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luc Vandendorpe","raw_affiliation_strings":["Institute of Information and Communication Technologies, Electronics and and Applied Mathematics (ICTEAM), Belgium"],"affiliations":[{"raw_affiliation_string":"Institute of Information and Communication Technologies, Electronics and and Applied Mathematics (ICTEAM), Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016660057"],"corresponding_institution_ids":["https://openalex.org/I4210087295"],"apc_list":null,"apc_paid":null,"fwci":0.3693,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6984881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9984999895095825,"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":0.9984999895095825,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9972000122070312,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8820643424987793},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8188280463218689},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.807365894317627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5876013040542603},{"id":"https://openalex.org/keywords/sample-mean-and-sample-covariance","display_name":"Sample mean and sample covariance","score":0.5527535676956177},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5351259708404541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5071899890899658},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.49881601333618164},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.47704023122787476},{"id":"https://openalex.org/keywords/mean-square","display_name":"Mean square","score":0.4469253420829773},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44096994400024414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42168277502059937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3887714445590973},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.058714836835861206},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05206120014190674}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8820643424987793},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8188280463218689},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.807365894317627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5876013040542603},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.5527535676956177},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5351259708404541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5071899890899658},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.49881601333618164},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.47704023122787476},{"id":"https://openalex.org/C2988709989","wikidata":"https://www.wikidata.org/wiki/Q85784623","display_name":"Mean square","level":2,"score":0.4469253420829773},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44096994400024414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42168277502059937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3887714445590973},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.058714836835861206},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05206120014190674},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssp.2016.7551739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dial.uclouvain.be:boreal:181378","is_oa":false,"landing_page_url":"http://hdl.handle.net/2078.1/181378","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:zenodo.org:834310","is_oa":true,"landing_page_url":"https://doi.org/10.1109/SSP.2016.7551739","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSP 16, 2016 IEEE Statistical Signal Processing Workshop, Palma de Mallorca (Spain), 26-29 June 2016","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:834310","is_oa":true,"landing_page_url":"https://doi.org/10.1109/SSP.2016.7551739","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SSP 16, 2016 IEEE Statistical Signal Processing Workshop, Palma de Mallorca (Spain), 26-29 June 2016","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W250076511","https://openalex.org/W1525535255","https://openalex.org/W1578953027","https://openalex.org/W1965392255","https://openalex.org/W1999177119","https://openalex.org/W2046936114","https://openalex.org/W2084706060","https://openalex.org/W2109953968","https://openalex.org/W2119227377","https://openalex.org/W2170959086","https://openalex.org/W4246841922","https://openalex.org/W4255230573"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W1612475656","https://openalex.org/W171089193","https://openalex.org/W3048657295","https://openalex.org/W242755951","https://openalex.org/W2738279990","https://openalex.org/W1581407216","https://openalex.org/W3196496833"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,16,44,59,62],"Ziv-Zakai":[3],"methodology":[4],"to":[5,14,22,33,53],"bound":[6,12],"estimators,":[7],"we":[8,28,67],"derived":[9],"an":[10],"estimation":[11],"able":[13],"predict":[15],"mean":[17,39,60],"square":[18],"error":[19,75],"degradation":[20],"due":[21],"model":[23],"mismatches.":[24],"In":[25],"this":[26,31,69],"article,":[27],"build":[29],"upon":[30],"result":[32],"provide":[34],"a":[35],"performance":[36],"comparison":[37],"between":[38],"and":[40],"median":[41],"estimators":[42],"in":[43,61],"presence":[45,63],"of":[46,64],"outliers.":[47,65],"The":[48],"latter":[49],"is":[50],"well":[51],"known":[52],"be":[54],"statistically":[55],"more":[56],"robust":[57],"than":[58],"Here":[66],"show":[68],"superiority":[70],"by":[71,84],"comparing":[72],"their":[73],"theoretical":[74],"bounds.":[76],"Analytical":[77],"results":[78],"are":[79,82],"obtained,":[80],"which":[81],"validated":[83],"computer":[85],"simulations.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-09-16T00:00:00"}
