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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13986

Title: A bayesian approach to shrinkage estimators
Issue Date: 1-Aug-2017
Publisher: Editora UFLA - Universidade Federal de Lavras - UFLA
Description: Estimators obtained by shrinking the least squares estimator are becoming widely used since the work of Stein, in the early 60’s, where it was presented an estimator for the mean of multivariate normal that dominates the sample mean, and the work of Hoerl and Kennard, in the early 70’s, on ridge estimators. In this work we present an approach using Bayesian and empirical Bayesian procedures to obtain some important shrinkage estimators. 
URI: http://repositorio.ufla.br/jspui/handle/1/13986
Other Identifiers: http://www.biometria.ufla.br/index.php/BBJ/article/view/38
Appears in Collections:REVISTA BRASILEIRA DE BIOMETRIA

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