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A Comparison Between Statistical & Fuzzy Techniques in Outlier Detection

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dc.contributor.authorAliosmanoğlu, Şebnem
dc.contributor.authorAkyilmaz, Orhan
dc.contributor.ituauthorAkyılmaz, Orhan
dc.date.accessioned2026-01-29T03:24:41Z
dc.date.issued2002-01-01
dc.description.abstractDuring the evaluation of the observations in geodetic networks, detectability of a possible error in any observation and its effect on the unknown parameters of the so-called network is one of the most important measures of the reliability of that network.
dc.description.urihttps://doi.org/10.1007/978-3-662-04709-5_63
dc.description.urihttps://dx.doi.org/10.1007/978-3-662-04709-5_63
dc.identifier.doi10.1007/978-3-662-04709-5_63
dc.identifier.openairedoi_dedup___::1425527314c816dc33758ab344e70d16
dc.identifier.orcid0000-0002-8499-2654
dc.identifier.urihttps://hdl.handle.net/11527/66457
dc.publisherSpringer Berlin Heidelberg
dc.titleA Comparison Between Statistical & Fuzzy Techniques in Outlier Detection
dc.typeBook Part
dspace.entity.typePublication
person.identifier.orcid0000-0002-8499-2654

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