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                                       Details for article 11 of 19 found articles
 
 
  James-stein estimation with constraints on the norm
 
 
Title: James-stein estimation with constraints on the norm
Author: Marchand, E.
Giri, N.C.
Appeared in: Communications in statistics
Paging: Volume 22 (1993) nr. 10 pages 2903-2924
Year: 1993
Contents: Consider the problem of estimating a multivariate mean 0(pxl), p>3, based on a sample x^ ..., xn with quadratic loss function. We find an optimal decision rule within the class of James-Stein type decision rules when the underlying distribution is that of a variance mixture of normals and when the norm ||0|| is known. When the norm is restricted to a known interval, typically no optimal James-Stein type rule exists but we characterize a minimal complete class within the class of James-Stein type decision rules. We also characterize the subclass of James-Stein type decision rules that dominate the sample mean.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 19 found articles
 
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