dc.contributor.author | Ushakov, Nikolai | |
dc.contributor.author | Ushakov, Vladimir G. | |
dc.date.accessioned | 2019-04-12T07:11:55Z | |
dc.date.available | 2019-04-12T07:11:55Z | |
dc.date.created | 2018-12-19T16:43:39Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Journal of Mathematical Sciences. 2018, 234 (6), 770-773. | nb_NO |
dc.identifier.issn | 1072-3374 | |
dc.identifier.uri | http://hdl.handle.net/11250/2594363 | |
dc.description.abstract | Since 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.iso | eng | nb_NO |
dc.publisher | Springer | nb_NO |
dc.title | Statistical analysis of rounded data: measurement errors vs rounding errors | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | updatedVersion | nb_NO |
dc.source.pagenumber | 770-773 | nb_NO |
dc.source.volume | 234 | nb_NO |
dc.source.journal | Journal of Mathematical Sciences | nb_NO |
dc.source.issue | 6 | nb_NO |
dc.identifier.doi | 10.1007/s10958-018-4042-3 | |
dc.identifier.cristin | 1645869 | |
dc.description.localcode | This 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/s10958-018-4042-3 | nb_NO |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |