IEEE Transactions on Information Theory · 1973 · 12 citations · 3 references
Natural SciencesMathematicsOptimizationProbability TheoryStatisticsBias-variance TradeoffConvex OptimizationEstimation TheoryInferential StatisticsParameter EstimationStatistical InferenceError BoundingError BoundsEstimation ErrorLower Bounds Of ErrorMinimum Variance EstimationMinimum Variance Unbiased Estimation
It is well known that the Barankin bound is locally the tightest lower bound on the variance of any unbiased estimator. If the minimum-variance unbiased-parameter estimation problem is viewed as a minimum-norm problem in an appropriate Hilbert space, the Barankin bound has a very simple geometric interpretation. This interpretation also gives some insight into the influence of bias on the estimation error.
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Locally Best Unbiased Estimates
Edward W. Barankin · The Annals of Mathematical Statistics · 1949 · 362 citations · Full text
John W. Van Ness, Emanuel Parzen · Journal of the American Statistical Association · 1972 · 216 citations
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