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                                       Details for article 3 of 26 found articles
 
 
  Bayes and stein estimation under asymmetric loss functions:a numerical risk comparison
 
 
Title: Bayes and stein estimation under asymmetric loss functions:a numerical risk comparison
Author: Madi, Mohamed T.
Appeared in: Communications in statistics
Paging: Volume 26 (1997) nr. 1 pages 53-66
Year: 1997
Contents: We consider the estimation of the scale parameter of the shifted exponential distribution and the variance of the normal distribution when the locations of these distributions are unknown and when loss is measured by invariant asymmetric loss functions. Stein type and Bayesian estimators are derived and compared in terms of risk improvements over the best affine equivariant estimator (BAEE). It is demonstrated that, under asymmetric loss, Bayes estimators provide a much larger degree of improvement over the BAEE than Stein estimators.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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