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- W51574443 abstract "Let the random variable $X$ be normally distributed with known variance $sigmasp 2 >0$. It is supposed that the unknown mean $theta$ is an element of a bounded interval $Theta$. The problem of estimating $theta$ under the loss function $lsb p(theta,d)=vert theta-dvertsp p$ where $pge 2$ is considered. In case the length of the interval $Theta$ is sufficiently small the minimax estimator and the $Gamma(beta,tau)$-minimax estimator, where $Gamma(beta,tau)$ represents special vague prior information, are given." @default.
- W51574443 created "2016-06-24" @default.
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- W51574443 date "1992-01-01" @default.
- W51574443 modified "2023-09-27" @default.
- W51574443 title "Minimax estimators and Gamma-minimax estimators for a bounded normal mean under the loss l_p(vartheta, d) = | vartheta - d |^p" @default.
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