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Robust and Non-Robust Models in Statistics
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Preface; Ill-posed problems; Loss functions and the restrictions imposed on the model; Loss functions and the theory of unbiased estimation; Sufficient statistics; Parametric inference; Trimmed, Bayes, and admissible estimators; Characterization of Distributions and Intensively Monotone Operators; Robustness of Statistical Models; Entire function of nite exponential type and estimation of density function; N-Metrics in the Set of Probability Measures; Some Statistical Tests Based on N-Distances; Index.

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