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Consistency (statistics)
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==Estimators== A [[consistent estimator]] is one for which, when the estimate is considered as a [[random variable]] indexed by the number ''n'' of items in the data set, as ''n'' increases the estimates [[Convergence of random variables|converge in probability]] to the value that the estimator is designed to estimate. An estimator that has [[Fisher consistency]] is one for which, if the estimator were applied to the entire population rather than a sample, the true value of the estimated parameter would be obtained.
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