- unbiased estimate
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Англо-русский словарь технических терминов. 2005.
unbiased estimate
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unbiased estimate — a point estimate having a sampling distribution with a mean equal to the parameter being estimated; i.e., the estimate will be greater than the true value as often as it is less than the true value … Medical dictionary
unbiased — adjective Date: 1607 1. free from bias; especially free from all prejudice and favoritism ; eminently fair < an unbiased opinion > 2. having an expected value equal to a population parameter being estimated < an unbiased estimate of the… … New Collegiate Dictionary
Stein's unbiased risk estimate — In statistics, Stein s unbiased risk estimate (SURE) is an unbiased estimator of the mean squared error of a given estimator, in a deterministic estimation scenario. In other words, it provides an indication of the accuracy of a given estimator.… … Wikipedia
Best linear unbiased prediction — In statistics, best linear unbiased prediction (BLUP) is used in linear mixed models for the prediction of random effects. Best linear unbiased predictions (BLUPs) of random effects are equivalent to best linear unbiased estimates (BLUEs) (see… … Wikipedia
biased estimate — a point estimate that is not unbiased, i.e., a point estimate that for some reason should tend to be wrong in a given direction … Medical dictionary
Estimator — In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… … Wikipedia
Standard error (statistics) — For a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value. The standard error is the standard… … Wikipedia
Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… … Wikipedia
Bias of an estimator — In statistics, the difference between an estimator s expected value and the true value of the parameter being estimated is called the bias. An estimator or decision rule having nonzero bias is said to be biased.Although the term bias sounds… … Wikipedia
Variance — In probability theory and statistics, the variance of a random variable, probability distribution, or sample is one measure of statistical dispersion, averaging the squared distance of its possible values from the expected value (mean). Whereas… … Wikipedia
U-statistic — In statistical theory, a U statistic is a specific type of estimator defined in a particular way. One use of the concept in statistical theory is that it allows a minimum variance unbiased estimator to be derived from essentially any unbiased… … Wikipedia
