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The d(theta)-depth-based interval trimmed mean

dc.contributor.authorSinova Fernández, Beatriz 
dc.date.accessioned2023-05-18T08:22:50Z
dc.date.available2023-05-18T08:22:50Z
dc.date.issued2023
dc.identifier.citationSinova Fernández, B. (2023). The d(theta)-depth-based interval trimmed mean. En L. A. García Escudero et al. Building bridges between soft and statistical methodologies for data science. SMPS 2022 (pp. 350-357). Cham, Switzerland : Springer
dc.identifier.isbn978-3-031-15509-3
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10651/68255
dc.descriptionInternational Conference on Soft Methods in Probability and Statistics, SMPS 2022 (10th. 2022. Valladolid, Spain)
dc.description.sponsorshipSpanish Ministry of Science, Innovation and Universities [MTM-PID2019-104486GB-I00]; Principality of Asturias/FEDER Grants [SV-PA-21-AYUD/2021/50897]
dc.format.extentp. 350-357
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofBuilding Bridges Between Soft and Statistical Methodologies For Data Science
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing (AISC); v. 1433
dc.rights© The editor(s) (if applicable) and the author(s), under exclusive license to Springer Nature Switzerland AG 2023
dc.sourceWOS:000892542900046
dc.titleThe d(theta)-depth-based interval trimmed mean
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-031-15509-3_46
dc.relation.projectIDMCIU/MTM-PID2019-104486GB-I00
dc.relation.projectIDPrincipality of Asturias/FEDER/SV-PA-21-AYUD/2021/50897
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-15509-3_46
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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