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Über das asymptotische verhalten von bayesschen und maximum-likelihood-schätzungen
Authors:D Schütze
Institution:Niederauer Str. 9, Dresden, DDR-8023
Abstract:The paper deals with the asymptotic equivalence of the maximum-likelihood-estimator with sums of independent and identically distributed random variables for a family of distribution functions, the density of which may vanish depending on the parameter. Further the asymptotic equivalence of the maximum-likelihood-estimator with BAYES estimators is shown.
Keywords:D-optimal  Hadamard matrix  information matrix  saturated design
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