Mohammad Jafari Jozani

[ 1 ] - Admissible and Minimax Estimator of the Parameter $theta$ in a Binomial $Bin( n ,theta)$ ­distribution under Squared Log Error Loss Function in a Lower Bounded Parameter Space

Extended Abstract. The study of truncated parameter space in general is of interest for the following reasons: 1.They often occur in practice. In many cases certain parameter values can be excluded from the parameter space. Nearly all problems in practice have a truncated parameter space and it is most impossible to argue in practice that a parameter is not bounded. In truncated parameter...

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