Bias of an estimator - Wikipedia
OverviewDefinitionExamplesMedian-unbiased estimatorsBias with respect to other loss functionsEffect of transformationsBias, variance and mean squared errorBayesian viewIn statistics, the bias of an estimator (or bias function) is the difference between this estimator's expected value and the true value of the parameter being estimated. An estimator or decision rule with zero bias is called unbiased. In statistics, "bias" is an objective property of an estimator. Bias is a distinct concept from consistency: consistent estimators converge in probability to the true value of the parameter, but may be biased or unbiased; see bias versus consistency for more.
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