Extension of some important identities in shrinkage-pretest strategies
Sévérien Nkurunziza ()
Metrika: International Journal for Theoretical and Applied Statistics, 2013, vol. 76, issue 7, 937-947
Abstract:
In this paper, we establish three identities which play a crucial role in deriving the asymptotic distributional risk function and the asymptotic distributional bias of a large class of estimators of a matrix parameter. In particular, we generalize the results in Judge and Bock (The statistical implication of pre-test and Stein-rule estimators in econometrics. North Holland, Amsterdam, 1978 ). The established results are useful in risk analysis of a class of Stein-rule type matrix estimators. Copyright Springer-Verlag Berlin Heidelberg 2013
Keywords: Asymptotic distributional bias; Asymptotic distributional risk; Identities; Kronecker product; Random matrix; Shrinkage estimator; Stein rule (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00184-012-0425-5 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:76:y:2013:i:7:p:937-947
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00184-012-0425-5
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().