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On the Sampling Performance of an Improved Stein Inequality Restricted Estimator
Authors:Kazuhiro Ohtani  & Alan TK Wan
Institution:Kobe University,;City University of Hong Kong
Abstract:Using the Stein (1964) variance estimator, this paper defines a modified Stein inequality constrained estimator and derives its exact risk under quadratic loss. Numerical evaluations show that over a wide range of the parameter space, the modified Stein inequality constrained estimator has lower risk than the traditional Stein inequality constrained estimator introduced by Judge et al . (1984).
Keywords:inequality constraints  quadratic loss  Stein-rule
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