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dc.contributor.authorUshakov, Nikolai
dc.contributor.authorUshakov, Vladimir G.
dc.date.accessioned2019-04-12T07:11:55Z
dc.date.available2019-04-12T07:11:55Z
dc.date.created2018-12-19T16:43:39Z
dc.date.issued2018
dc.identifier.citationJournal of Mathematical Sciences. 2018, 234 (6), 770-773.nb_NO
dc.identifier.issn1072-3374
dc.identifier.urihttp://hdl.handle.net/11250/2594363
dc.description.abstractSince data for statistical analysis are always given in a discretized form, observations contain not only measurement errors but also rounding errors which are determined by the discretization step. In this paper we consider situations where the rounding errors are considerable: they are comparable to or even greater (in average) than the measurement errors. It is shown that it can be reasonable to increase the measurement errors in order to reduce the error of the final result.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.titleStatistical analysis of rounded data: measurement errors vs rounding errorsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionupdatedVersionnb_NO
dc.source.pagenumber770-773nb_NO
dc.source.volume234nb_NO
dc.source.journalJournal of Mathematical Sciencesnb_NO
dc.source.issue6nb_NO
dc.identifier.doi10.1007/s10958-018-4042-3
dc.identifier.cristin1645869
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in Journal of Mathematical Sciences. Locked until 18.09.2019 due to copyright restrictions. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10958-018-4042-3nb_NO
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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