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Finite Parameter Estimation Problems under Incomplete Information on Probability Densities

Finite Parameter Estimation Problems under Incomplete Information on Probability Densities

In this paper we study a finite parameter estimation problem in which we have only incomplete information on the probability density function of the observation variable. A generalized scheme of the maximum likelihood ratio test is employed for the estmation. We examine the conditions for the likelihood ratio function which …