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Identifier uch.math.msc//2006karatzias
Title Εκτιμητές με συρρικνωτές της παραμέτρου θέσεως νόμων με ελλειπτική συμμετρία για το γενικό γραμμικό μοντέλο
Alternative Title Shrinkage estimators for the location parameter of an elliptically symmetric distribution in a general linear model
Author Καρατζιάς, Βασίλειος
Abstract The subject of this master thesis is shrinkage estimators for the location parameter of an elliptically symmetric distribution in a general linear model.
The theory regarding these type of estimators has been introduced by James and Stein (1961), while Stein (1956) proved that the usual least square estimator (lse) is not admissible when the dimension of the parameter space is greater than 2. Ever since, manifold generalizations have taken place that refer to domination over lse and performance of this class of estimators. This project covers part of this theory from 1985 to 1994 and is divided in 5 sections. In section 1, we study elliptically symmetric distributions, give characterizations and prove many of their interesting properties. In section 2, we present a class of shrinkage estimators for the location parameter of a multidimensional normal distribution. We offer a condition of domination over lse, submitting any analytical properties of the shrinkage function. In section 3, we generalize our previous results under elliptical symmetry for a general quadratic loss. Section 4 refers to shrinkage estimators for the location parameter of an elliptically symmetric distribution where the shrinkage function is replaced by a differentiable vector function. Finally, in section 5 we present two applications of shrinkage estimators (particularly Steins estimator) on rainfall data in co-operation with IACM-FORTH.
Language Greek
Subject James-Stein estimation
co-ordinateJ free
controlled function
quatradic loss
shrinkage function
spherical symmetry
Issue date 2006-03-02
Collection   School/Department--School of Sciences and Engineering--Department of Mathematics--Post-graduate theses
  Type of Work--Post-graduate theses
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