Admissible estimators of a multivariate normal mean vector when the scale is unknown. (17th December 2020)
- Record Type:
- Journal Article
- Title:
- Admissible estimators of a multivariate normal mean vector when the scale is unknown. (17th December 2020)
- Main Title:
- Admissible estimators of a multivariate normal mean vector when the scale is unknown
- Authors:
- Maruyama, Y
Strawderman, W E - Abstract:
- Summary: We study admissibility of a subclass of generalized Bayes estimators of a multivariate normal vector in the case where the variance is unknown, under scaled quadratic loss. Minimaxity is established for some of these estimators.
- Is Part Of:
- Biometrika. Volume 108:Number 4(2021)
- Journal:
- Biometrika
- Issue:
- Volume 108:Number 4(2021)
- Issue Display:
- Volume 108, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 108
- Issue:
- 4
- Issue Sort Value:
- 2021-0108-0004-0000
- Page Start:
- 997
- Page End:
- 1003
- Publication Date:
- 2020-12-17
- Subjects:
- Admissibility -- Bayes estimator -- Minimaxity
Biometry -- Periodicals
570.1519505 - Journal URLs:
- http://www.oup.co.uk/biomet/contents ↗
http://biomet.oxfordjournals.org ↗
http://www.jstor.org/journals/00063444.html ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗
http://www.ingenta.com/journals/browse/oup/biomet?mode=direct ↗ - DOI:
- 10.1093/biomet/asaa102 ↗
- Languages:
- English
- ISSNs:
- 0006-3444
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20275.xml