Titlebook: Unbiased Estimators and Their Applications; Volume 1: Univariate V. G. Voinov,M. S. Nikulin Book 1993 Springer Science+Business Media Dordr

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Techniques for Constructing Unbiased Estimators,en revealed, was presented in [9], which have been further developed in [37] and [43]. Since this method has not found any practical application, we shall not discuss it here. The following considerations deal mainly with techniques employed in obtaining unbiased estimators presented in the tables.

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Applications of Unbiased Estimation Theory,e [102], [167], and [222]). If the unique estimator of a parameter θ is under consideration, then it is much more important, for example, to get the estimator with a minimal square risk R(δ,θ) = (δ(.) ?θ).. In this case it should not be necessarily unbiased. The contrary is the case when, say, there

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Book 1993such method. Although there are many books whichconsider problems of statistical point estimation, this volume is thefirst to be devoted solely to the problem of unbiased estimation. Itcontains three chapters dealing, respectively, with the theory ofpoint statistical estimation, techniques for const

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on is one such method. Although there are many books whichconsider problems of statistical point estimation, this volume is thefirst to be devoted solely to the problem of unbiased estimation. Itcontains three chapters dealing, respectively, with the theory ofpoint statistical estimation, techniques

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