| dc.contributor.author | Ushakova, A | |
| dc.contributor.author | Ushakov, Nikolai | |
| dc.date.accessioned | 2021-09-03T11:02:22Z | |
| dc.date.available | 2021-09-03T11:02:22Z | |
| dc.date.created | 2020-04-30T16:51:25Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Journal of Mathematical Sciences. 2020, 246 (4), 560-564. | en_US |
| dc.identifier.issn | 1072-3374 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2772837 | |
| dc.description.abstract | One of the characterization problems of statistics is reconstruction of types when observations can have different location and/or scale parameters. In these cases, invariant statistics are used, and one of the main problems is uniqueness and stability of the reconstruction. There are a number of works devoted to this problem. In this article, we obtain a new estimate of stability of the normal type. It improves previously obtained estimates. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer | en_US |
| dc.title | An Estimate of Stability of Reconstruction of the Normal Distribution Type | en_US |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.description.version | publishedVersion | en_US |
| dc.source.pagenumber | 560-564 | en_US |
| dc.source.volume | 246 | en_US |
| dc.source.journal | Journal of Mathematical Sciences | en_US |
| dc.source.issue | 4 | en_US |
| dc.identifier.doi | 10.1007/s10958-020-04760-x | |
| dc.identifier.cristin | 1808952 | |
| dc.description.localcode | This article will not be available due to copyright restrictions (c) 2020 by Springer | en_US |
| cristin.ispublished | true | |
| cristin.fulltext | original | |
| cristin.qualitycode | 1 | |
