asymptotically √n-unbiased estimator
- asymptotically √n-unbiased estimator
French\ \ estimateur asymptotiquement sans √n-biais
German\ \ asymptotischer √n-unverzerrter Schätzer
Dutch\ \ -
Italian\ \ -
Spanish\ \ -
Catalan\ \ estimador asimptòticament √n-centrat
Portuguese\ \ estimador assintoticamente centrado de ordem inferior a n-1/2
Romanian\ \ -
Danish\ \ asymptotisk √n-objektiv estimator
Norwegian\ \ asymptotisk √n-forventningsrett estimator
Swedish\ \ asymptotiskt √n-objektiv estimatorn
Greek\ \ ασυμπτωτικά √n-αμερόληπτος εκτιμητής
Finnish\ \ asymptoottisesti √n-harhaton estimaattori
Hungarian\ \ aszimptotikusan torzítatlan √ n-becslés
Turkish\ \ asimptotik √n-tarafsız (yansız) tahminleyici; asimptotik √n-tarafsız (yansız) tahminleyici
Estonian\ \ -
Lithuanian\ \ -
Slovenian\ \ asimptotično √n-nepristransko cenilko
Polish\ \ estymator asymptotycznie √n-nieobciążony
Russian\ \ асимптотически √n – неискаженная оценка
Ukrainian\ \ -
Serbian\ \ -
Icelandic\ \ asymptotically √n-óhlutdræg metilsins
Euskara\ \ -
Farsi\ \ -
Persian-Farsi\ \ -
Arabic\ \ مقدر غير متحيز مقارب n√
Afrikaans\ \ asimptotiese √n-onsydige beramer
Chinese\ \ -
Korean\ \ -
Statistical terms.
2014.
Look at other dictionaries:
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
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Consistent estimator — {T1, T2, T3, …} is a sequence of estimators for parameter θ0, the true value of which is 4. This sequence is consistent: the estimators are getting more and more concentrated near the true value θ0; at the same time, these estimators are biased.… … 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
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
Efficiency (statistics) — In statistics, efficiency is one measure of desirability of an estimator.The efficiency of an unbiased statistic T is defined as:e(T)=frac{1/mathcal{I}( heta)}{mathrm{var}(T)}where mathcal{I}( heta) is the Fisher information of the sample.Thus… … 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
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
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
Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical… … Wikipedia