- difference estimator
- разностная оценка
The English-Russian dictionary on reliability and quality control. 2015.
difference estimator
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Difference in differences — (DID) (sometimes Diff in Diffs ) is a quasi experimental technique used in econometrics that measures the effect of a treatment at a given period in time. It is often used to measure the change induced by a particular treatment or event, though… … Wikipedia
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
Mean difference — The mean difference is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn from a probability distribution. A related statistic is the relative mean difference, which is the mean difference … 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
Hodges-Lehmann estimator — The Hodges Lehmann estimator is a statistical method for robust estimation.The principal form of this estimator is used to give an estimate of the difference between the values in two sets of data. If the two sets of data contain m and n data… … Wikipedia
Mean signed difference — In statistics, the mean signed difference (MSD), also known as mean signed error (MSE), is a sample statistic that summarises how well an estimator matches the quantity θ that it is supposed to estimate. It is one of a number of statistics that… … Wikipedia
Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… … Wikipedia
Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… … Wikipedia
Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… … Wikipedia
Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… … Wikipedia
Regret (decision theory) — Regret (often also called opportunity loss) is defined as the difference between the actual payoff and the payoff that would have been obtained if a different course of action had been chosen. This is also called difference regret. Furthermore,… … Wikipedia
